Overview

Dataset statistics

Number of variables367
Number of observations42,962
Missing cells2,217,179
Missing cells (%)14.1%
Total size in memory120.3 MiB
Average record size in memory2.9 KiB

Variable types

Numeric361
Categorical4
Unsupported2

Warnings

EINGEFUEGT_AM has a high cardinality: 1599 distinct values High cardinality
AKT_DAT_KL has 6969 (16.2%) missing values Missing
ALTER_HH has 6969 (16.2%) missing values Missing
ALTER_KIND1 has 40974 (95.4%) missing values Missing
ALTER_KIND2 has 42206 (98.2%) missing values Missing
ALTER_KIND3 has 42788 (99.6%) missing values Missing
ALTER_KIND4 has 42921 (99.9%) missing values Missing
ALTERSKATEGORIE_FEIN has 8155 (19.0%) missing values Missing
ANZ_HAUSHALTE_AKTIV has 7777 (18.1%) missing values Missing
ANZ_HH_TITEL has 8246 (19.2%) missing values Missing
ANZ_KINDER has 6969 (16.2%) missing values Missing
ANZ_PERSONEN has 6969 (16.2%) missing values Missing
ANZ_STATISTISCHE_HAUSHALTE has 7777 (18.1%) missing values Missing
ANZ_TITEL has 6969 (16.2%) missing values Missing
ARBEIT has 7951 (18.5%) missing values Missing
BALLRAUM has 7799 (18.2%) missing values Missing
CAMEO_DEU_2015 has 7888 (18.4%) missing values Missing
CAMEO_DEUG_2015 has 7888 (18.4%) missing values Missing
CAMEO_INTL_2015 has 7888 (18.4%) missing values Missing
CJT_GESAMTTYP has 605 (1.4%) missing values Missing
CJT_KATALOGNUTZER has 605 (1.4%) missing values Missing
CJT_TYP_1 has 605 (1.4%) missing values Missing
CJT_TYP_2 has 605 (1.4%) missing values Missing
CJT_TYP_3 has 605 (1.4%) missing values Missing
CJT_TYP_4 has 605 (1.4%) missing values Missing
CJT_TYP_5 has 605 (1.4%) missing values Missing
CJT_TYP_6 has 605 (1.4%) missing values Missing
D19_BANKEN_ONLINE_QUOTE_12 has 7584 (17.7%) missing values Missing
D19_GESAMT_ONLINE_QUOTE_12 has 7584 (17.7%) missing values Missing
D19_KONSUMTYP has 7584 (17.7%) missing values Missing
D19_LETZTER_KAUF_BRANCHE has 7584 (17.7%) missing values Missing
D19_LOTTO has 7584 (17.7%) missing values Missing
D19_SOZIALES has 7584 (17.7%) missing values Missing
D19_TELKO_ONLINE_QUOTE_12 has 7584 (17.7%) missing values Missing
D19_VERSAND_ONLINE_QUOTE_12 has 7584 (17.7%) missing values Missing
D19_VERSI_ONLINE_QUOTE_12 has 7584 (17.7%) missing values Missing
DSL_FLAG has 7777 (18.1%) missing values Missing
EINGEFUEGT_AM has 7777 (18.1%) missing values Missing
EINGEZOGENAM_HH_JAHR has 6969 (16.2%) missing values Missing
EWDICHTE has 7799 (18.2%) missing values Missing
EXTSEL992 has 15948 (37.1%) missing values Missing
FIRMENDICHTE has 7777 (18.1%) missing values Missing
GEBAEUDETYP has 7777 (18.1%) missing values Missing
GEBAEUDETYP_RASTER has 7777 (18.1%) missing values Missing
GEMEINDETYP has 7955 (18.5%) missing values Missing
GFK_URLAUBERTYP has 605 (1.4%) missing values Missing
HH_DELTA_FLAG has 9678 (22.5%) missing values Missing
HH_EINKOMMEN_SCORE has 704 (1.6%) missing values Missing
INNENSTADT has 7799 (18.2%) missing values Missing
KBA05_ALTER1 has 8648 (20.1%) missing values Missing
KBA05_ALTER2 has 8648 (20.1%) missing values Missing
KBA05_ALTER3 has 8648 (20.1%) missing values Missing
KBA05_ALTER4 has 8648 (20.1%) missing values Missing
KBA05_ANHANG has 8648 (20.1%) missing values Missing
KBA05_ANTG1 has 8648 (20.1%) missing values Missing
KBA05_ANTG2 has 8648 (20.1%) missing values Missing
KBA05_ANTG3 has 8648 (20.1%) missing values Missing
KBA05_ANTG4 has 8648 (20.1%) missing values Missing
KBA05_AUTOQUOT has 8648 (20.1%) missing values Missing
KBA05_BAUMAX has 8648 (20.1%) missing values Missing
KBA05_CCM1 has 8648 (20.1%) missing values Missing
KBA05_CCM2 has 8648 (20.1%) missing values Missing
KBA05_CCM3 has 8648 (20.1%) missing values Missing
KBA05_CCM4 has 8648 (20.1%) missing values Missing
KBA05_DIESEL has 8648 (20.1%) missing values Missing
KBA05_FRAU has 8648 (20.1%) missing values Missing
KBA05_GBZ has 8648 (20.1%) missing values Missing
KBA05_HERST1 has 8648 (20.1%) missing values Missing
KBA05_HERST2 has 8648 (20.1%) missing values Missing
KBA05_HERST3 has 8648 (20.1%) missing values Missing
KBA05_HERST4 has 8648 (20.1%) missing values Missing
KBA05_HERST5 has 8648 (20.1%) missing values Missing
KBA05_HERSTTEMP has 7777 (18.1%) missing values Missing
KBA05_KRSAQUOT has 8648 (20.1%) missing values Missing
KBA05_KRSHERST1 has 8648 (20.1%) missing values Missing
KBA05_KRSHERST2 has 8648 (20.1%) missing values Missing
KBA05_KRSHERST3 has 8648 (20.1%) missing values Missing
KBA05_KRSKLEIN has 8648 (20.1%) missing values Missing
KBA05_KRSOBER has 8648 (20.1%) missing values Missing
KBA05_KRSVAN has 8648 (20.1%) missing values Missing
KBA05_KRSZUL has 8648 (20.1%) missing values Missing
KBA05_KW1 has 8648 (20.1%) missing values Missing
KBA05_KW2 has 8648 (20.1%) missing values Missing
KBA05_KW3 has 8648 (20.1%) missing values Missing
KBA05_MAXAH has 8648 (20.1%) missing values Missing
KBA05_MAXBJ has 8648 (20.1%) missing values Missing
KBA05_MAXHERST has 8648 (20.1%) missing values Missing
KBA05_MAXSEG has 8648 (20.1%) missing values Missing
KBA05_MAXVORB has 8648 (20.1%) missing values Missing
KBA05_MOD1 has 8648 (20.1%) missing values Missing
KBA05_MOD2 has 8648 (20.1%) missing values Missing
KBA05_MOD3 has 8648 (20.1%) missing values Missing
KBA05_MOD4 has 8648 (20.1%) missing values Missing
KBA05_MOD8 has 8648 (20.1%) missing values Missing
KBA05_MODTEMP has 7777 (18.1%) missing values Missing
KBA05_MOTOR has 8648 (20.1%) missing values Missing
KBA05_MOTRAD has 8648 (20.1%) missing values Missing
KBA05_SEG1 has 8648 (20.1%) missing values Missing
KBA05_SEG10 has 8648 (20.1%) missing values Missing
KBA05_SEG2 has 8648 (20.1%) missing values Missing
KBA05_SEG3 has 8648 (20.1%) missing values Missing
KBA05_SEG4 has 8648 (20.1%) missing values Missing
KBA05_SEG5 has 8648 (20.1%) missing values Missing
KBA05_SEG6 has 8648 (20.1%) missing values Missing
KBA05_SEG7 has 8648 (20.1%) missing values Missing
KBA05_SEG8 has 8648 (20.1%) missing values Missing
KBA05_SEG9 has 8648 (20.1%) missing values Missing
KBA05_VORB0 has 8648 (20.1%) missing values Missing
KBA05_VORB1 has 8648 (20.1%) missing values Missing
KBA05_VORB2 has 8648 (20.1%) missing values Missing
KBA05_ZUL1 has 8648 (20.1%) missing values Missing
KBA05_ZUL2 has 8648 (20.1%) missing values Missing
KBA05_ZUL3 has 8648 (20.1%) missing values Missing
KBA05_ZUL4 has 8648 (20.1%) missing values Missing
KBA13_ALTERHALTER_30 has 7962 (18.5%) missing values Missing
KBA13_ALTERHALTER_45 has 7962 (18.5%) missing values Missing
KBA13_ALTERHALTER_60 has 7962 (18.5%) missing values Missing
KBA13_ALTERHALTER_61 has 7962 (18.5%) missing values Missing
KBA13_ANTG1 has 7962 (18.5%) missing values Missing
KBA13_ANTG2 has 7962 (18.5%) missing values Missing
KBA13_ANTG3 has 7962 (18.5%) missing values Missing
KBA13_ANTG4 has 7962 (18.5%) missing values Missing
KBA13_ANZAHL_PKW has 7962 (18.5%) missing values Missing
KBA13_AUDI has 7962 (18.5%) missing values Missing
KBA13_AUTOQUOTE has 7962 (18.5%) missing values Missing
KBA13_BAUMAX has 7962 (18.5%) missing values Missing
KBA13_BJ_1999 has 7962 (18.5%) missing values Missing
KBA13_BJ_2000 has 7962 (18.5%) missing values Missing
KBA13_BJ_2004 has 7962 (18.5%) missing values Missing
KBA13_BJ_2006 has 7962 (18.5%) missing values Missing
KBA13_BJ_2008 has 7962 (18.5%) missing values Missing
KBA13_BJ_2009 has 7962 (18.5%) missing values Missing
KBA13_BMW has 7962 (18.5%) missing values Missing
KBA13_CCM_0_1400 has 7962 (18.5%) missing values Missing
KBA13_CCM_1000 has 7962 (18.5%) missing values Missing
KBA13_CCM_1200 has 7962 (18.5%) missing values Missing
KBA13_CCM_1400 has 7962 (18.5%) missing values Missing
KBA13_CCM_1401_2500 has 7962 (18.5%) missing values Missing
KBA13_CCM_1500 has 7962 (18.5%) missing values Missing
KBA13_CCM_1600 has 7962 (18.5%) missing values Missing
KBA13_CCM_1800 has 7962 (18.5%) missing values Missing
KBA13_CCM_2000 has 7962 (18.5%) missing values Missing
KBA13_CCM_2500 has 7962 (18.5%) missing values Missing
KBA13_CCM_2501 has 7962 (18.5%) missing values Missing
KBA13_CCM_3000 has 7962 (18.5%) missing values Missing
KBA13_CCM_3001 has 7962 (18.5%) missing values Missing
KBA13_FAB_ASIEN has 7962 (18.5%) missing values Missing
KBA13_FAB_SONSTIGE has 7962 (18.5%) missing values Missing
KBA13_FIAT has 7962 (18.5%) missing values Missing
KBA13_FORD has 7962 (18.5%) missing values Missing
KBA13_GBZ has 7962 (18.5%) missing values Missing
KBA13_HALTER_20 has 7962 (18.5%) missing values Missing
KBA13_HALTER_25 has 7962 (18.5%) missing values Missing
KBA13_HALTER_30 has 7962 (18.5%) missing values Missing
KBA13_HALTER_35 has 7962 (18.5%) missing values Missing
KBA13_HALTER_40 has 7962 (18.5%) missing values Missing
KBA13_HALTER_45 has 7962 (18.5%) missing values Missing
KBA13_HALTER_50 has 7962 (18.5%) missing values Missing
KBA13_HALTER_55 has 7962 (18.5%) missing values Missing
KBA13_HALTER_60 has 7962 (18.5%) missing values Missing
KBA13_HALTER_65 has 7962 (18.5%) missing values Missing
KBA13_HALTER_66 has 7962 (18.5%) missing values Missing
KBA13_HERST_ASIEN has 7962 (18.5%) missing values Missing
KBA13_HERST_AUDI_VW has 7962 (18.5%) missing values Missing
KBA13_HERST_BMW_BENZ has 7962 (18.5%) missing values Missing
KBA13_HERST_EUROPA has 7962 (18.5%) missing values Missing
KBA13_HERST_FORD_OPEL has 7962 (18.5%) missing values Missing
KBA13_HERST_SONST has 7962 (18.5%) missing values Missing
KBA13_HHZ has 7962 (18.5%) missing values Missing
KBA13_KMH_0_140 has 7962 (18.5%) missing values Missing
KBA13_KMH_110 has 7962 (18.5%) missing values Missing
KBA13_KMH_140 has 7962 (18.5%) missing values Missing
KBA13_KMH_140_210 has 7962 (18.5%) missing values Missing
KBA13_KMH_180 has 7962 (18.5%) missing values Missing
KBA13_KMH_210 has 7962 (18.5%) missing values Missing
KBA13_KMH_211 has 7962 (18.5%) missing values Missing
KBA13_KMH_250 has 7962 (18.5%) missing values Missing
KBA13_KMH_251 has 7962 (18.5%) missing values Missing
KBA13_KRSAQUOT has 7962 (18.5%) missing values Missing
KBA13_KRSHERST_AUDI_VW has 7962 (18.5%) missing values Missing
KBA13_KRSHERST_BMW_BENZ has 7962 (18.5%) missing values Missing
KBA13_KRSHERST_FORD_OPEL has 7962 (18.5%) missing values Missing
KBA13_KRSSEG_KLEIN has 7962 (18.5%) missing values Missing
KBA13_KRSSEG_OBER has 7962 (18.5%) missing values Missing
KBA13_KRSSEG_VAN has 7962 (18.5%) missing values Missing
KBA13_KRSZUL_NEU has 7962 (18.5%) missing values Missing
KBA13_KW_0_60 has 7962 (18.5%) missing values Missing
KBA13_KW_110 has 7962 (18.5%) missing values Missing
KBA13_KW_120 has 7962 (18.5%) missing values Missing
KBA13_KW_121 has 7962 (18.5%) missing values Missing
KBA13_KW_30 has 7962 (18.5%) missing values Missing
KBA13_KW_40 has 7962 (18.5%) missing values Missing
KBA13_KW_50 has 7962 (18.5%) missing values Missing
KBA13_KW_60 has 7962 (18.5%) missing values Missing
KBA13_KW_61_120 has 7962 (18.5%) missing values Missing
KBA13_KW_70 has 7962 (18.5%) missing values Missing
KBA13_KW_80 has 7962 (18.5%) missing values Missing
KBA13_KW_90 has 7962 (18.5%) missing values Missing
KBA13_MAZDA has 7962 (18.5%) missing values Missing
KBA13_MERCEDES has 7962 (18.5%) missing values Missing
KBA13_MOTOR has 7962 (18.5%) missing values Missing
KBA13_NISSAN has 7962 (18.5%) missing values Missing
KBA13_OPEL has 7962 (18.5%) missing values Missing
KBA13_PEUGEOT has 7962 (18.5%) missing values Missing
KBA13_RENAULT has 7962 (18.5%) missing values Missing
KBA13_SEG_GELAENDEWAGEN has 7962 (18.5%) missing values Missing
KBA13_SEG_GROSSRAUMVANS has 7962 (18.5%) missing values Missing
KBA13_SEG_KLEINST has 7962 (18.5%) missing values Missing
KBA13_SEG_KLEINWAGEN has 7962 (18.5%) missing values Missing
KBA13_SEG_KOMPAKTKLASSE has 7962 (18.5%) missing values Missing
KBA13_SEG_MINIVANS has 7962 (18.5%) missing values Missing
KBA13_SEG_MINIWAGEN has 7962 (18.5%) missing values Missing
KBA13_SEG_MITTELKLASSE has 7962 (18.5%) missing values Missing
KBA13_SEG_OBEREMITTELKLASSE has 7962 (18.5%) missing values Missing
KBA13_SEG_OBERKLASSE has 7962 (18.5%) missing values Missing
KBA13_SEG_SONSTIGE has 7962 (18.5%) missing values Missing
KBA13_SEG_SPORTWAGEN has 7962 (18.5%) missing values Missing
KBA13_SEG_UTILITIES has 7962 (18.5%) missing values Missing
KBA13_SEG_VAN has 7962 (18.5%) missing values Missing
KBA13_SEG_WOHNMOBILE has 7962 (18.5%) missing values Missing
KBA13_SITZE_4 has 7962 (18.5%) missing values Missing
KBA13_SITZE_5 has 7962 (18.5%) missing values Missing
KBA13_SITZE_6 has 7962 (18.5%) missing values Missing
KBA13_TOYOTA has 7962 (18.5%) missing values Missing
KBA13_VORB_0 has 7962 (18.5%) missing values Missing
KBA13_VORB_1 has 7962 (18.5%) missing values Missing
KBA13_VORB_1_2 has 7962 (18.5%) missing values Missing
KBA13_VORB_2 has 7962 (18.5%) missing values Missing
KBA13_VORB_3 has 7962 (18.5%) missing values Missing
KBA13_VW has 7962 (18.5%) missing values Missing
KK_KUNDENTYP has 25316 (58.9%) missing values Missing
KKK has 8445 (19.7%) missing values Missing
KONSUMNAEHE has 6997 (16.3%) missing values Missing
KONSUMZELLE has 7777 (18.1%) missing values Missing
LP_FAMILIE_FEIN has 605 (1.4%) missing values Missing
LP_FAMILIE_GROB has 605 (1.4%) missing values Missing
LP_LEBENSPHASE_FEIN has 605 (1.4%) missing values Missing
LP_LEBENSPHASE_GROB has 605 (1.4%) missing values Missing
LP_STATUS_FEIN has 605 (1.4%) missing values Missing
LP_STATUS_GROB has 605 (1.4%) missing values Missing
MIN_GEBAEUDEJAHR has 7777 (18.1%) missing values Missing
MOBI_RASTER has 7777 (18.1%) missing values Missing
MOBI_REGIO has 8648 (20.1%) missing values Missing
ONLINE_AFFINITAET has 605 (1.4%) missing values Missing
ORTSGR_KLS9 has 7951 (18.5%) missing values Missing
OST_WEST_KZ has 7777 (18.1%) missing values Missing
PLZ8_ANTG1 has 8153 (19.0%) missing values Missing
PLZ8_ANTG2 has 8153 (19.0%) missing values Missing
PLZ8_ANTG3 has 8153 (19.0%) missing values Missing
PLZ8_ANTG4 has 8153 (19.0%) missing values Missing
PLZ8_BAUMAX has 8153 (19.0%) missing values Missing
PLZ8_GBZ has 8153 (19.0%) missing values Missing
PLZ8_HHZ has 8153 (19.0%) missing values Missing
REGIOTYP has 8445 (19.7%) missing values Missing
RELAT_AB has 7951 (18.5%) missing values Missing
RETOURTYP_BK_S has 605 (1.4%) missing values Missing
RT_KEIN_ANREIZ has 605 (1.4%) missing values Missing
RT_SCHNAEPPCHEN has 605 (1.4%) missing values Missing
RT_UEBERGROESSE has 6380 (14.9%) missing values Missing
SOHO_KZ has 6969 (16.2%) missing values Missing
STRUKTURTYP has 7955 (18.5%) missing values Missing
TITEL_KZ has 6969 (16.2%) missing values Missing
UMFELD_ALT has 7925 (18.4%) missing values Missing
UMFELD_JUNG has 7925 (18.4%) missing values Missing
UNGLEICHENN_FLAG has 6969 (16.2%) missing values Missing
VERDICHTUNGSRAUM has 7955 (18.5%) missing values Missing
VHA has 6969 (16.2%) missing values Missing
VHN has 8445 (19.7%) missing values Missing
VK_DHT4A has 7267 (16.9%) missing values Missing
VK_DISTANZ has 7267 (16.9%) missing values Missing
VK_ZG11 has 7267 (16.9%) missing values Missing
W_KEIT_KIND_HH has 9678 (22.5%) missing values Missing
WOHNDAUER_2008 has 6969 (16.2%) missing values Missing
WOHNLAGE has 7777 (18.1%) missing values Missing
ANZ_HH_TITEL is highly skewed (γ1 = 21.40627383) Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 30.26083086) Skewed
D19_VERSI_ONLINE_DATUM is highly skewed (γ1 = -20.21632487) Skewed
D19_VERSI_ONLINE_QUOTE_12 is highly skewed (γ1 = 24.91069139) Skewed
TITEL_KZ is highly skewed (γ1 = 25.64853276) Skewed
LNR has unique values Unique
CAMEO_DEUG_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
CAMEO_INTL_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
AGER_TYP has 927 (2.2%) zeros Zeros
ALTER_HH has 6208 (14.4%) zeros Zeros
ALTERSKATEGORIE_FEIN has 3536 (8.2%) zeros Zeros
ANZ_HAUSHALTE_AKTIV has 530 (1.2%) zeros Zeros
ANZ_HH_TITEL has 33486 (77.9%) zeros Zeros
ANZ_KINDER has 33821 (78.7%) zeros Zeros
ANZ_PERSONEN has 2709 (6.3%) zeros Zeros
ANZ_TITEL has 35674 (83.0%) zeros Zeros
D19_BANKEN_ANZ_12 has 40198 (93.6%) zeros Zeros
D19_BANKEN_ANZ_24 has 38714 (90.1%) zeros Zeros
D19_BANKEN_DIREKT has 36805 (85.7%) zeros Zeros
D19_BANKEN_GROSS has 38760 (90.2%) zeros Zeros
D19_BANKEN_LOKAL has 42170 (98.2%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 33787 (78.6%) zeros Zeros
D19_BANKEN_REST has 39983 (93.1%) zeros Zeros
D19_BEKLEIDUNG_GEH has 35949 (83.7%) zeros Zeros
D19_BEKLEIDUNG_REST has 29981 (69.8%) zeros Zeros
D19_BILDUNG has 34895 (81.2%) zeros Zeros
D19_BIO_OEKO has 38422 (89.4%) zeros Zeros
D19_BUCH_CD has 22410 (52.2%) zeros Zeros
D19_DIGIT_SERV has 41226 (96.0%) zeros Zeros
D19_DROGERIEARTIKEL has 36725 (85.5%) zeros Zeros
D19_ENERGIE has 39064 (90.9%) zeros Zeros
D19_FREIZEIT has 37678 (87.7%) zeros Zeros
D19_GARTEN has 39737 (92.5%) zeros Zeros
D19_GESAMT_ANZ_12 has 25341 (59.0%) zeros Zeros
D19_GESAMT_ANZ_24 has 20736 (48.3%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 23291 (54.2%) zeros Zeros
D19_HANDWERK has 31086 (72.4%) zeros Zeros
D19_HAUS_DEKO has 28556 (66.5%) zeros Zeros
D19_KINDERARTIKEL has 33786 (78.6%) zeros Zeros
D19_KOSMETIK has 28919 (67.3%) zeros Zeros
D19_LEBENSMITTEL has 37467 (87.2%) zeros Zeros
D19_LOTTO has 20293 (47.2%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 38508 (89.6%) zeros Zeros
D19_RATGEBER has 35306 (82.2%) zeros Zeros
D19_REISEN has 28298 (65.9%) zeros Zeros
D19_SAMMELARTIKEL has 31986 (74.5%) zeros Zeros
D19_SCHUHE has 37508 (87.3%) zeros Zeros
D19_SONSTIGE has 15258 (35.5%) zeros Zeros
D19_SOZIALES has 9615 (22.4%) zeros Zeros
D19_TECHNIK has 25369 (59.0%) zeros Zeros
D19_TELKO_ANZ_12 has 41099 (95.7%) zeros Zeros
D19_TELKO_ANZ_24 has 39720 (92.5%) zeros Zeros
D19_TELKO_MOBILE has 36119 (84.1%) zeros Zeros
D19_TELKO_ONLINE_QUOTE_12 has 35338 (82.3%) zeros Zeros
D19_TELKO_REST has 37986 (88.4%) zeros Zeros
D19_TIERARTIKEL has 40917 (95.2%) zeros Zeros
D19_VERSAND_ANZ_12 has 27763 (64.6%) zeros Zeros
D19_VERSAND_ANZ_24 has 23413 (54.5%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 24597 (57.3%) zeros Zeros
D19_VERSAND_REST has 36458 (84.9%) zeros Zeros
D19_VERSI_ANZ_12 has 39485 (91.9%) zeros Zeros
D19_VERSI_ANZ_24 has 37473 (87.2%) zeros Zeros
D19_VERSI_ONLINE_QUOTE_12 has 35318 (82.2%) zeros Zeros
D19_VERSICHERUNGEN has 32015 (74.5%) zeros Zeros
D19_VOLLSORTIMENT has 20628 (48.0%) zeros Zeros
D19_WEIN_FEINKOST has 36950 (86.0%) zeros Zeros
DSL_FLAG has 685 (1.6%) zeros Zeros
GEBURTSJAHR has 17475 (40.7%) zeros Zeros
GREEN_AVANTGARDE has 30939 (72.0%) zeros Zeros
HH_DELTA_FLAG has 28993 (67.5%) zeros Zeros
KBA05_ALTER1 has 5246 (12.2%) zeros Zeros
KBA05_ALTER4 has 830 (1.9%) zeros Zeros
KBA05_ANHANG has 9912 (23.1%) zeros Zeros
KBA05_ANTG1 has 9114 (21.2%) zeros Zeros
KBA05_ANTG2 has 12918 (30.1%) zeros Zeros
KBA05_ANTG3 has 26001 (60.5%) zeros Zeros
KBA05_ANTG4 has 29002 (67.5%) zeros Zeros
KBA05_BAUMAX has 14332 (33.4%) zeros Zeros
KBA05_CCM4 has 10887 (25.3%) zeros Zeros
KBA05_DIESEL has 2354 (5.5%) zeros Zeros
KBA05_HERST1 has 2645 (6.2%) zeros Zeros
KBA05_HERST3 has 600 (1.4%) zeros Zeros
KBA05_HERST4 has 1037 (2.4%) zeros Zeros
KBA05_HERST5 has 1641 (3.8%) zeros Zeros
KBA05_KW3 has 7676 (17.9%) zeros Zeros
KBA05_MOD1 has 11398 (26.5%) zeros Zeros
KBA05_MOD4 has 1672 (3.9%) zeros Zeros
KBA05_MOD8 has 8542 (19.9%) zeros Zeros
KBA05_MOTRAD has 8023 (18.7%) zeros Zeros
KBA05_SEG1 has 10321 (24.0%) zeros Zeros
KBA05_SEG10 has 3972 (9.2%) zeros Zeros
KBA05_SEG5 has 7092 (16.5%) zeros Zeros
KBA05_SEG6 has 29474 (68.6%) zeros Zeros
KBA05_SEG7 has 15246 (35.5%) zeros Zeros
KBA05_SEG8 has 17259 (40.2%) zeros Zeros
KBA05_SEG9 has 10318 (24.0%) zeros Zeros
KBA05_VORB2 has 2781 (6.5%) zeros Zeros
KBA05_ZUL3 has 2023 (4.7%) zeros Zeros
KBA05_ZUL4 has 3181 (7.4%) zeros Zeros
KBA13_ANTG2 has 489 (1.1%) zeros Zeros
KBA13_ANTG3 has 7120 (16.6%) zeros Zeros
KBA13_ANTG4 has 18785 (43.7%) zeros Zeros
KBA13_BJ_2008 has 5588 (13.0%) zeros Zeros
KBA13_BJ_2009 has 4183 (9.7%) zeros Zeros
KBA13_CCM_0_1400 has 6654 (15.5%) zeros Zeros
KBA13_CCM_1000 has 4518 (10.5%) zeros Zeros
KBA13_CCM_1200 has 6800 (15.8%) zeros Zeros
KBA13_CCM_1800 has 5981 (13.9%) zeros Zeros
KBA13_CCM_2500 has 4153 (9.7%) zeros Zeros
KBA13_CCM_2501 has 3906 (9.1%) zeros Zeros
KBA13_CCM_3000 has 2500 (5.8%) zeros Zeros
KBA13_KMH_0_140 has 4632 (10.8%) zeros Zeros
KBA13_KMH_211 has 5978 (13.9%) zeros Zeros
KBA13_KMH_250 has 5985 (13.9%) zeros Zeros
KBA13_KRSZUL_NEU has 1009 (2.3%) zeros Zeros
KBA13_KW_110 has 5425 (12.6%) zeros Zeros
KBA13_KW_120 has 3940 (9.2%) zeros Zeros
KBA13_KW_121 has 4018 (9.4%) zeros Zeros
KBA13_KW_40 has 4534 (10.6%) zeros Zeros
KBA13_KW_50 has 6649 (15.5%) zeros Zeros
KBA13_KW_60 has 6069 (14.1%) zeros Zeros
KBA13_KW_70 has 6422 (14.9%) zeros Zeros
KBA13_KW_80 has 5746 (13.4%) zeros Zeros
KBA13_KW_90 has 5936 (13.8%) zeros Zeros
KBA13_SEG_OBERKLASSE has 3823 (8.9%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 3526 (8.2%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 3870 (9.0%) zeros Zeros
KBA13_VORB_3 has 7228 (16.8%) zeros Zeros
KKK has 1485 (3.5%) zeros Zeros
KONSUMZELLE has 28436 (66.2%) zeros Zeros
LP_FAMILIE_FEIN has 8208 (19.1%) zeros Zeros
LP_FAMILIE_GROB has 8208 (19.1%) zeros Zeros
LP_LEBENSPHASE_FEIN has 8298 (19.3%) zeros Zeros
LP_LEBENSPHASE_GROB has 8273 (19.3%) zeros Zeros
NATIONALITAET_KZ has 7316 (17.0%) zeros Zeros
ONLINE_AFFINITAET has 2156 (5.0%) zeros Zeros
PLZ8_ANTG3 has 6481 (15.1%) zeros Zeros
PLZ8_ANTG4 has 17981 (41.9%) zeros Zeros
PRAEGENDE_JUGENDJAHRE has 7454 (17.4%) zeros Zeros
REGIOTYP has 1485 (3.5%) zeros Zeros
SHOPPER_TYP has 6034 (14.0%) zeros Zeros
SOHO_KZ has 35645 (83.0%) zeros Zeros
TITEL_KZ has 35780 (83.3%) zeros Zeros
UNGLEICHENN_FLAG has 33428 (77.8%) zeros Zeros
VERDICHTUNGSRAUM has 17087 (39.8%) zeros Zeros
VHA has 16176 (37.7%) zeros Zeros
VHN has 1485 (3.5%) zeros Zeros
W_KEIT_KIND_HH has 739 (1.7%) zeros Zeros
RESPONSE has 42430 (98.8%) zeros Zeros

Reproduction

Analysis started2021-05-29 14:48:01.100468
Analysis finished2021-05-29 14:48:05.022109
Duration3.92 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct42962
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42803.12013
Minimum1
Maximum85795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:05.181991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4203.05
Q121284.25
median42710
Q364340.5
95-th percentile81345.9
Maximum85795
Range85794
Interquartile range (IQR)43056.25

Descriptive statistics

Standard deviation24778.33998
Coefficient of variation (CV)0.5788909759
Kurtosis-1.203373177
Mean42803.12013
Median Absolute Deviation (MAD)21506
Skewness0.002154314123
Sum1838907647
Variance613966132.4
MonotonicityNot monotonic
2021-05-29T15:48:05.353683image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
655361
 
< 0.1%
396861
 
< 0.1%
581211
 
< 0.1%
642661
 
< 0.1%
499331
 
< 0.1%
745131
 
< 0.1%
806581
 
< 0.1%
130751
 
< 0.1%
683721
 
< 0.1%
7891
 
< 0.1%
Other values (42952)42952
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
51
< 0.1%
91
< 0.1%
101
< 0.1%
111
< 0.1%
ValueCountFrequency (%)
857951
< 0.1%
857921
< 0.1%
857881
< 0.1%
857861
< 0.1%
857821
< 0.1%

AGER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5429216517
Minimum-1
Maximum3
Zeros927
Zeros (%)2.2%
Negative17963
Negative (%)41.8%
Memory size335.8 KiB
2021-05-29T15:48:05.446196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median1
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.412923822
Coefficient of variation (CV)2.602445155
Kurtosis-1.569175881
Mean0.5429216517
Median Absolute Deviation (MAD)1
Skewness0.07039473986
Sum23325
Variance1.996353727
MonotonicityNot monotonic
2021-05-29T15:48:05.540148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-117963
41.8%
212470
29.0%
19229
21.5%
32373
 
5.5%
0927
 
2.2%
ValueCountFrequency (%)
-117963
41.8%
0927
 
2.2%
19229
21.5%
212470
29.0%
32373
 
5.5%
ValueCountFrequency (%)
32373
 
5.5%
212470
29.0%
19229
21.5%
0927
 
2.2%
-117963
41.8%

AKT_DAT_KL
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean1.525241019
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:05.629040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.741499841
Coefficient of variation (CV)1.141786655
Kurtosis10.97107406
Mean1.525241019
Median Absolute Deviation (MAD)0
Skewness3.476977401
Sum54898
Variance3.032821697
MonotonicityNot monotonic
2021-05-29T15:48:05.724125image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
131999
74.5%
91195
 
2.8%
2788
 
1.8%
5502
 
1.2%
3403
 
0.9%
6298
 
0.7%
4281
 
0.7%
7279
 
0.6%
8248
 
0.6%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
131999
74.5%
2788
 
1.8%
3403
 
0.9%
4281
 
0.7%
5502
 
1.2%
ValueCountFrequency (%)
91195
2.8%
8248
 
0.6%
7279
 
0.6%
6298
 
0.7%
5502
1.2%

ALTER_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct20
Distinct (%)0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean10.28555552
Minimum0
Maximum21
Zeros6208
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:05.821645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median10
Q315
95-th percentile20
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.08260965
Coefficient of variation (CV)0.591373955
Kurtosis-0.6426953343
Mean10.28555552
Median Absolute Deviation (MAD)3
Skewness-0.2225836314
Sum370208
Variance36.99814015
MonotonicityNot monotonic
2021-05-29T15:48:05.918660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
06208
14.4%
93922
9.1%
103775
8.8%
82701
 
6.3%
112276
 
5.3%
122135
 
5.0%
71749
 
4.1%
131644
 
3.8%
151559
 
3.6%
141508
 
3.5%
Other values (10)8516
19.8%
(Missing)6969
16.2%
ValueCountFrequency (%)
06208
14.4%
34
 
< 0.1%
426
 
0.1%
5122
 
0.3%
6705
 
1.6%
ValueCountFrequency (%)
211412
3.3%
201216
2.8%
191255
2.9%
181175
2.7%
171245
2.9%

ALTER_KIND1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.9%
Missing40974
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean12.60613682
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:06.008496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q19
median13
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.924976167
Coefficient of variation (CV)0.3113544001
Kurtosis-0.9142784002
Mean12.60613682
Median Absolute Deviation (MAD)3
Skewness-0.3489802568
Sum25061
Variance15.40543791
MonotonicityNot monotonic
2021-05-29T15:48:06.106094image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
18223
 
0.5%
17197
 
0.5%
15186
 
0.4%
14165
 
0.4%
16160
 
0.4%
13154
 
0.4%
10138
 
0.3%
12133
 
0.3%
11129
 
0.3%
9127
 
0.3%
Other values (7)376
 
0.9%
(Missing)40974
95.4%
ValueCountFrequency (%)
24
 
< 0.1%
312
 
< 0.1%
420
 
< 0.1%
524
 
0.1%
683
0.2%
ValueCountFrequency (%)
18223
0.5%
17197
0.5%
16160
0.4%
15186
0.4%
14165
0.4%

ALTER_KIND2
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)1.9%
Missing42206
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean13.78306878
Minimum5
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:06.196109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q112
median14
Q316
95-th percentile18
Maximum18
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.065817368
Coefficient of variation (CV)0.2224335825
Kurtosis-0.5390706746
Mean13.78306878
Median Absolute Deviation (MAD)2
Skewness-0.461868109
Sum10420
Variance9.399236133
MonotonicityNot monotonic
2021-05-29T15:48:06.296235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1799
 
0.2%
1887
 
0.2%
1287
 
0.2%
1480
 
0.2%
1579
 
0.2%
1677
 
0.2%
1372
 
0.2%
1158
 
0.1%
1042
 
0.1%
931
 
0.1%
Other values (4)44
 
0.1%
(Missing)42206
98.2%
ValueCountFrequency (%)
54
 
< 0.1%
65
 
< 0.1%
713
< 0.1%
822
0.1%
931
0.1%
ValueCountFrequency (%)
1887
0.2%
1799
0.2%
1677
0.2%
1579
0.2%
1480
0.2%

ALTER_KIND3
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)6.9%
Missing42788
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean14.65517241
Minimum6
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:06.380131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q113
median15
Q317
95-th percentile18
Maximum18
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.615328696
Coefficient of variation (CV)0.1784577228
Kurtosis0.5828992821
Mean14.65517241
Median Absolute Deviation (MAD)2
Skewness-0.7684269368
Sum2550
Variance6.83994419
MonotonicityNot monotonic
2021-05-29T15:48:06.476866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1828
 
0.1%
1427
 
0.1%
1724
 
0.1%
1323
 
0.1%
1522
 
0.1%
1619
 
< 0.1%
1214
 
< 0.1%
116
 
< 0.1%
105
 
< 0.1%
73
 
< 0.1%
Other values (2)3
 
< 0.1%
(Missing)42788
99.6%
ValueCountFrequency (%)
61
 
< 0.1%
73
< 0.1%
82
 
< 0.1%
105
< 0.1%
116
< 0.1%
ValueCountFrequency (%)
1828
0.1%
1724
0.1%
1619
< 0.1%
1522
0.1%
1427
0.1%

ALTER_KIND4
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)26.8%
Missing42921
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean14.19512195
Minimum6
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:06.643723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q113
median15
Q317
95-th percentile18
Maximum18
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.034958914
Coefficient of variation (CV)0.2138029476
Kurtosis0.8474975887
Mean14.19512195
Median Absolute Deviation (MAD)2
Skewness-0.9796221834
Sum582
Variance9.21097561
MonotonicityNot monotonic
2021-05-29T15:48:06.738814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
156
 
< 0.1%
176
 
< 0.1%
136
 
< 0.1%
145
 
< 0.1%
185
 
< 0.1%
164
 
< 0.1%
123
 
< 0.1%
72
 
< 0.1%
112
 
< 0.1%
61
 
< 0.1%
(Missing)42921
99.9%
ValueCountFrequency (%)
61
 
< 0.1%
72
< 0.1%
101
 
< 0.1%
112
< 0.1%
123
< 0.1%
ValueCountFrequency (%)
185
< 0.1%
176
< 0.1%
164
< 0.1%
156
< 0.1%
145
< 0.1%

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.1%
Missing8155
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean9.855057891
Minimum0
Maximum25
Zeros3536
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:06.830479image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median10
Q313
95-th percentile16
Maximum25
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.373539165
Coefficient of variation (CV)0.443786248
Kurtosis0.705776336
Mean9.855057891
Median Absolute Deviation (MAD)2
Skewness-0.6138376707
Sum343025
Variance19.12784483
MonotonicityNot monotonic
2021-05-29T15:48:06.953658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
95045
11.7%
104681
10.9%
03536
8.2%
83332
7.8%
123188
 
7.4%
113049
 
7.1%
132653
 
6.2%
142231
 
5.2%
72066
 
4.8%
151605
 
3.7%
Other values (15)3421
8.0%
(Missing)8155
19.0%
ValueCountFrequency (%)
03536
8.2%
21
 
< 0.1%
39
 
< 0.1%
433
 
0.1%
5136
 
0.3%
ValueCountFrequency (%)
2518
 
< 0.1%
2421
 
< 0.1%
234
 
< 0.1%
223
 
< 0.1%
2161
0.1%

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

MISSING
ZEROS

Distinct175
Distinct (%)0.5%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean6.706096348
Minimum0
Maximum438
Zeros530
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:07.091351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q37
95-th percentile26
Maximum438
Range438
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.15178973
Coefficient of variation (CV)2.259405315
Kurtosis137.5348484
Mean6.706096348
Median Absolute Deviation (MAD)1
Skewness9.140196724
Sum235954
Variance229.5767321
MonotonicityNot monotonic
2021-05-29T15:48:07.235605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113816
32.2%
25437
 
12.7%
32188
 
5.1%
41358
 
3.2%
61193
 
2.8%
51190
 
2.8%
71155
 
2.7%
81070
 
2.5%
9944
 
2.2%
10821
 
1.9%
Other values (165)6013
14.0%
(Missing)7777
18.1%
ValueCountFrequency (%)
0530
 
1.2%
113816
32.2%
25437
 
12.7%
32188
 
5.1%
41358
 
3.2%
ValueCountFrequency (%)
4381
< 0.1%
3531
< 0.1%
3472
< 0.1%
3441
< 0.1%
3331
< 0.1%

ANZ_HH_TITEL
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing8246
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean0.0495736836
Minimum0
Maximum20
Zeros33486
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:07.353193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3803348241
Coefficient of variation (CV)7.67211142
Kurtosis739.8139452
Mean0.0495736836
Median Absolute Deviation (MAD)0
Skewness21.40627383
Sum1721
Variance0.1446545784
MonotonicityNot monotonic
2021-05-29T15:48:07.474779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
033486
77.9%
11038
 
2.4%
2101
 
0.2%
339
 
0.1%
417
 
< 0.1%
59
 
< 0.1%
66
 
< 0.1%
84
 
< 0.1%
74
 
< 0.1%
94
 
< 0.1%
Other values (5)8
 
< 0.1%
(Missing)8246
 
19.2%
ValueCountFrequency (%)
033486
77.9%
11038
 
2.4%
2101
 
0.2%
339
 
0.1%
417
 
< 0.1%
ValueCountFrequency (%)
201
 
< 0.1%
172
< 0.1%
141
 
< 0.1%
133
< 0.1%
121
 
< 0.1%

ANZ_KINDER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.08898952574
Minimum0
Maximum6
Zeros33821
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:07.584673image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3959945651
Coefficient of variation (CV)4.449900838
Kurtosis38.07321442
Mean0.08898952574
Median Absolute Deviation (MAD)0
Skewness5.577484144
Sum3203
Variance0.1568116956
MonotonicityNot monotonic
2021-05-29T15:48:07.694634image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
033821
78.7%
11391
 
3.2%
2593
 
1.4%
3144
 
0.3%
428
 
0.1%
514
 
< 0.1%
62
 
< 0.1%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
033821
78.7%
11391
 
3.2%
2593
 
1.4%
3144
 
0.3%
428
 
0.1%
ValueCountFrequency (%)
62
 
< 0.1%
514
 
< 0.1%
428
 
0.1%
3144
 
0.3%
2593
1.4%

ANZ_PERSONEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean2.017086656
Minimum0
Maximum24
Zeros2709
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:07.797534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.358095553
Coefficient of variation (CV)0.6732955914
Kurtosis3.649381657
Mean2.017086656
Median Absolute Deviation (MAD)1
Skewness1.198737521
Sum72601
Variance1.84442353
MonotonicityNot monotonic
2021-05-29T15:48:07.914352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
112118
28.2%
210870
25.3%
35437
12.7%
42950
 
6.9%
02709
 
6.3%
51193
 
2.8%
6481
 
1.1%
7158
 
0.4%
846
 
0.1%
922
 
0.1%
Other values (4)9
 
< 0.1%
(Missing)6969
16.2%
ValueCountFrequency (%)
02709
 
6.3%
112118
28.2%
210870
25.3%
35437
12.7%
42950
 
6.9%
ValueCountFrequency (%)
241
 
< 0.1%
131
 
< 0.1%
112
 
< 0.1%
105
 
< 0.1%
922
0.1%

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

MISSING

Distinct173
Distinct (%)0.5%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean6.275856189
Minimum0
Maximum369
Zeros95
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:08.043880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q37
95-th percentile24
Maximum369
Range369
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.32633307
Coefficient of variation (CV)2.282769497
Kurtosis148.1784167
Mean6.275856189
Median Absolute Deviation (MAD)1
Skewness9.519613815
Sum220816
Variance205.2438193
MonotonicityNot monotonic
2021-05-29T15:48:08.183799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114784
34.4%
25391
 
12.5%
32107
 
4.9%
41418
 
3.3%
61311
 
3.1%
51280
 
3.0%
71177
 
2.7%
81053
 
2.5%
9918
 
2.1%
10753
 
1.8%
Other values (163)4993
 
11.6%
(Missing)7777
18.1%
ValueCountFrequency (%)
095
 
0.2%
114784
34.4%
25391
 
12.5%
32107
 
4.9%
41418
 
3.3%
ValueCountFrequency (%)
3691
< 0.1%
3541
< 0.1%
3422
< 0.1%
3392
< 0.1%
3221
< 0.1%

ANZ_TITEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.009585197122
Minimum0
Maximum2
Zeros35674
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:08.292912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1045865688
Coefficient of variation (CV)10.91125905
Kurtosis157.2569827
Mean0.009585197122
Median Absolute Deviation (MAD)0
Skewness11.89251974
Sum345
Variance0.01093835038
MonotonicityNot monotonic
2021-05-29T15:48:08.407464image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
035674
83.0%
1293
 
0.7%
226
 
0.1%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
035674
83.0%
1293
 
0.7%
226
 
0.1%
ValueCountFrequency (%)
226
 
0.1%
1293
 
0.7%
035674
83.0%

ARBEIT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7951
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.045214361
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:08.505610image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036404283
Coefficient of variation (CV)0.3403386955
Kurtosis-0.4478248745
Mean3.045214361
Median Absolute Deviation (MAD)1
Skewness-0.3506897956
Sum106616
Variance1.074133838
MonotonicityNot monotonic
2021-05-29T15:48:08.612434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
412323
28.7%
311223
26.1%
26910
16.1%
13242
 
7.5%
51306
 
3.0%
97
 
< 0.1%
(Missing)7951
18.5%
ValueCountFrequency (%)
13242
 
7.5%
26910
16.1%
311223
26.1%
412323
28.7%
51306
 
3.0%
ValueCountFrequency (%)
97
 
< 0.1%
51306
 
3.0%
412323
28.7%
311223
26.1%
26910
16.1%

BALLRAUM
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing7799
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.256775588
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:08.712572image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.195305614
Coefficient of variation (CV)0.5157203071
Kurtosis-1.483222281
Mean4.256775588
Median Absolute Deviation (MAD)2
Skewness-0.3155678814
Sum149681
Variance4.819366737
MonotonicityNot monotonic
2021-05-29T15:48:08.810286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
611579
27.0%
16521
15.2%
74905
11.4%
24329
 
10.1%
32967
 
6.9%
42518
 
5.9%
52344
 
5.5%
(Missing)7799
18.2%
ValueCountFrequency (%)
16521
15.2%
24329
10.1%
32967
6.9%
42518
 
5.9%
52344
 
5.5%
ValueCountFrequency (%)
74905
11.4%
611579
27.0%
52344
 
5.5%
42518
 
5.9%
32967
 
6.9%

CAMEO_DEU_2015
Categorical

MISSING

Distinct45
Distinct (%)0.1%
Missing7888
Missing (%)18.4%
Memory size335.8 KiB
6B
 
2452
4C
 
2216
3D
 
2152
2D
 
1991
4A
 
1684
Other values (40)
24579 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5D
2nd row5B
3rd row2D
4th row2D
5th row7B

Common Values

ValueCountFrequency (%)
6B2452
 
5.7%
4C2216
 
5.2%
3D2152
 
5.0%
2D1991
 
4.6%
4A1684
 
3.9%
8A1597
 
3.7%
3C1547
 
3.6%
8C1267
 
2.9%
7A1242
 
2.9%
2C1173
 
2.7%
Other values (35)17753
41.3%
(Missing)7888
18.4%

CAMEO_DEUG_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing7888
Missing (%)18.4%
Memory size335.8 KiB

CAMEO_INTL_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing7888
Missing (%)18.4%
Memory size335.8 KiB

CJT_GESAMTTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.314233775
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:09.045835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.775396833
Coefficient of variation (CV)0.5356884738
Kurtosis-1.330734723
Mean3.314233775
Median Absolute Deviation (MAD)1
Skewness0.3074453671
Sum140381
Variance3.152033914
MonotonicityNot monotonic
2021-05-29T15:48:09.267652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
212813
29.8%
68429
19.6%
16671
15.5%
46024
14.0%
34343
 
10.1%
54077
 
9.5%
(Missing)605
 
1.4%
ValueCountFrequency (%)
16671
15.5%
212813
29.8%
34343
 
10.1%
46024
14.0%
54077
 
9.5%
ValueCountFrequency (%)
68429
19.6%
54077
 
9.5%
46024
14.0%
34343
 
10.1%
212813
29.8%

CJT_KATALOGNUTZER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.89623911
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:09.364328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.442273638
Coefficient of variation (CV)0.3701707202
Kurtosis-0.4793156977
Mean3.89623911
Median Absolute Deviation (MAD)0
Skewness-0.9907699111
Sum165033
Variance2.080153246
MonotonicityNot monotonic
2021-05-29T15:48:09.457619image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
522813
53.1%
46049
 
14.1%
15558
 
12.9%
35340
 
12.4%
22597
 
6.0%
(Missing)605
 
1.4%
ValueCountFrequency (%)
15558
 
12.9%
22597
 
6.0%
35340
 
12.4%
46049
 
14.1%
522813
53.1%
ValueCountFrequency (%)
522813
53.1%
46049
 
14.1%
35340
 
12.4%
22597
 
6.0%
15558
 
12.9%

CJT_TYP_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.541020374
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:09.548166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.35457568
Coefficient of variation (CV)0.5330833605
Kurtosis-0.6801481373
Mean2.541020374
Median Absolute Deviation (MAD)1
Skewness0.7464753142
Sum107630
Variance1.834875274
MonotonicityNot monotonic
2021-05-29T15:48:09.643435image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
217526
40.8%
19424
21.9%
57243
16.9%
35717
 
13.3%
42447
 
5.7%
(Missing)605
 
1.4%
ValueCountFrequency (%)
19424
21.9%
217526
40.8%
35717
 
13.3%
42447
 
5.7%
57243
16.9%
ValueCountFrequency (%)
57243
16.9%
42447
 
5.7%
35717
 
13.3%
217526
40.8%
19424
21.9%

CJT_TYP_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.313501901
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:09.731183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.394950693
Coefficient of variation (CV)0.6029606861
Kurtosis-0.4830485624
Mean2.313501901
Median Absolute Deviation (MAD)1
Skewness0.9045024402
Sum97993
Variance1.945887437
MonotonicityNot monotonic
2021-05-29T15:48:09.826588image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
114956
34.8%
214303
33.3%
56559
15.3%
34520
 
10.5%
42019
 
4.7%
(Missing)605
 
1.4%
ValueCountFrequency (%)
114956
34.8%
214303
33.3%
34520
 
10.5%
42019
 
4.7%
56559
15.3%
ValueCountFrequency (%)
56559
15.3%
42019
 
4.7%
34520
 
10.5%
214303
33.3%
114956
34.8%

CJT_TYP_3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.473074108
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:09.918710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9264752221
Coefficient of variation (CV)0.2071227079
Kurtosis2.557497023
Mean4.473074108
Median Absolute Deviation (MAD)0
Skewness-1.808882593
Sum189466
Variance0.8583563372
MonotonicityNot monotonic
2021-05-29T15:48:10.015553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
529351
68.3%
46718
 
15.6%
33824
 
8.9%
21903
 
4.4%
1561
 
1.3%
(Missing)605
 
1.4%
ValueCountFrequency (%)
1561
 
1.3%
21903
 
4.4%
33824
 
8.9%
46718
 
15.6%
529351
68.3%
ValueCountFrequency (%)
529351
68.3%
46718
 
15.6%
33824
 
8.9%
21903
 
4.4%
1561
 
1.3%

CJT_TYP_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.377151356
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:10.104214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.063100387
Coefficient of variation (CV)0.2428749431
Kurtosis1.883901004
Mean4.377151356
Median Absolute Deviation (MAD)0
Skewness-1.701534233
Sum185403
Variance1.130182432
MonotonicityNot monotonic
2021-05-29T15:48:10.195794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
528461
66.2%
46670
 
15.5%
33180
 
7.4%
22832
 
6.6%
11214
 
2.8%
(Missing)605
 
1.4%
ValueCountFrequency (%)
11214
 
2.8%
22832
 
6.6%
33180
 
7.4%
46670
 
15.5%
528461
66.2%
ValueCountFrequency (%)
528461
66.2%
46670
 
15.5%
33180
 
7.4%
22832
 
6.6%
11214
 
2.8%

CJT_TYP_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.464999882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:10.282467image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9450299226
Coefficient of variation (CV)0.2116528438
Kurtosis2.500169343
Mean4.464999882
Median Absolute Deviation (MAD)0
Skewness-1.789106007
Sum189124
Variance0.8930815546
MonotonicityNot monotonic
2021-05-29T15:48:10.375201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
529640
69.0%
45738
 
13.4%
34750
 
11.1%
21493
 
3.5%
1736
 
1.7%
(Missing)605
 
1.4%
ValueCountFrequency (%)
1736
 
1.7%
21493
 
3.5%
34750
 
11.1%
45738
 
13.4%
529640
69.0%
ValueCountFrequency (%)
529640
69.0%
45738
 
13.4%
34750
 
11.1%
21493
 
3.5%
1736
 
1.7%

CJT_TYP_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.424581533
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:10.463441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9810789739
Coefficient of variation (CV)0.2217337316
Kurtosis2.148161595
Mean4.424581533
Median Absolute Deviation (MAD)0
Skewness-1.733724201
Sum187412
Variance0.9625159531
MonotonicityNot monotonic
2021-05-29T15:48:10.567163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
528543
66.4%
47198
 
16.8%
33381
 
7.9%
22527
 
5.9%
1708
 
1.6%
(Missing)605
 
1.4%
ValueCountFrequency (%)
1708
 
1.6%
22527
 
5.9%
33381
 
7.9%
47198
 
16.8%
528543
66.4%
ValueCountFrequency (%)
528543
66.4%
47198
 
16.8%
33381
 
7.9%
22527
 
5.9%
1708
 
1.6%

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1017177971
Minimum0
Maximum6
Zeros40198
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:10.667320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4540652053
Coefficient of variation (CV)4.463970103
Kurtosis43.06699646
Mean0.1017177971
Median Absolute Deviation (MAD)0
Skewness5.920366395
Sum4370
Variance0.2061752107
MonotonicityNot monotonic
2021-05-29T15:48:10.774281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
040198
93.6%
11726
 
4.0%
2693
 
1.6%
3180
 
0.4%
4118
 
0.3%
536
 
0.1%
611
 
< 0.1%
ValueCountFrequency (%)
040198
93.6%
11726
 
4.0%
2693
 
1.6%
3180
 
0.4%
4118
 
0.3%
ValueCountFrequency (%)
611
 
< 0.1%
536
 
0.1%
4118
 
0.3%
3180
 
0.4%
2693
1.6%

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1760625669
Minimum0
Maximum6
Zeros38714
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:10.873759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6328577229
Coefficient of variation (CV)3.594504692
Kurtosis25.07695609
Mean0.1760625669
Median Absolute Deviation (MAD)0
Skewness4.635247071
Sum7564
Variance0.4005088975
MonotonicityNot monotonic
2021-05-29T15:48:10.986194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
038714
90.1%
12304
 
5.4%
21162
 
2.7%
3362
 
0.8%
4289
 
0.7%
592
 
0.2%
639
 
0.1%
ValueCountFrequency (%)
038714
90.1%
12304
 
5.4%
21162
 
2.7%
3362
 
0.8%
4289
 
0.7%
ValueCountFrequency (%)
639
 
0.1%
592
 
0.2%
4289
 
0.7%
3362
 
0.8%
21162
2.7%

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.352776873
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:11.082890image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.630258688
Coefficient of variation (CV)0.1743074501
Kurtosis9.031150149
Mean9.352776873
Median Absolute Deviation (MAD)0
Skewness-3.002569089
Sum401814
Variance2.657743389
MonotonicityNot monotonic
2021-05-29T15:48:11.178712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1033913
78.9%
93504
 
8.2%
51706
 
4.0%
81297
 
3.0%
7805
 
1.9%
6679
 
1.6%
1342
 
0.8%
4292
 
0.7%
2249
 
0.6%
3175
 
0.4%
ValueCountFrequency (%)
1342
 
0.8%
2249
 
0.6%
3175
 
0.4%
4292
 
0.7%
51706
4.0%
ValueCountFrequency (%)
1033913
78.9%
93504
 
8.2%
81297
 
3.0%
7805
 
1.9%
6679
 
1.6%

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7028304083
Minimum0
Maximum7
Zeros36805
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:11.265984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.818202309
Coefficient of variation (CV)2.586971604
Kurtosis4.007649091
Mean0.7028304083
Median Absolute Deviation (MAD)0
Skewness2.381729213
Sum30195
Variance3.305859636
MonotonicityNot monotonic
2021-05-29T15:48:11.358995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036805
85.7%
63119
 
7.3%
31232
 
2.9%
5730
 
1.7%
7323
 
0.8%
2281
 
0.7%
4280
 
0.7%
1192
 
0.4%
ValueCountFrequency (%)
036805
85.7%
1192
 
0.4%
2281
 
0.7%
31232
 
2.9%
4280
 
0.7%
ValueCountFrequency (%)
7323
 
0.8%
63119
7.3%
5730
 
1.7%
4280
 
0.7%
31232
 
2.9%

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4633629719
Minimum0
Maximum6
Zeros38760
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:11.448776image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.488132905
Coefficient of variation (CV)3.211592197
Kurtosis8.087930639
Mean0.4633629719
Median Absolute Deviation (MAD)0
Skewness3.106387172
Sum19907
Variance2.214539543
MonotonicityNot monotonic
2021-05-29T15:48:11.553340image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
038760
90.2%
62138
 
5.0%
3853
 
2.0%
5586
 
1.4%
4258
 
0.6%
2191
 
0.4%
1176
 
0.4%
ValueCountFrequency (%)
038760
90.2%
1176
 
0.4%
2191
 
0.4%
3853
 
2.0%
4258
 
0.6%
ValueCountFrequency (%)
62138
5.0%
5586
 
1.4%
4258
 
0.6%
3853
 
2.0%
2191
 
0.4%

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1043945813
Minimum0
Maximum7
Zeros42170
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:11.650486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7940971665
Coefficient of variation (CV)7.606689514
Kurtosis61.27084897
Mean0.1043945813
Median Absolute Deviation (MAD)0
Skewness7.845757537
Sum4485
Variance0.6305903099
MonotonicityNot monotonic
2021-05-29T15:48:11.757691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
042170
98.2%
7367
 
0.9%
6195
 
0.5%
3182
 
0.4%
532
 
0.1%
29
 
< 0.1%
45
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
042170
98.2%
12
 
< 0.1%
29
 
< 0.1%
3182
 
0.4%
45
 
< 0.1%
ValueCountFrequency (%)
7367
0.9%
6195
0.5%
532
 
0.1%
45
 
< 0.1%
3182
0.4%

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.851799264
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:11.865922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8212257993
Coefficient of variation (CV)0.08335795089
Kurtosis39.03040409
Mean9.851799264
Median Absolute Deviation (MAD)0
Skewness-6.118856861
Sum423253
Variance0.6744118134
MonotonicityNot monotonic
2021-05-29T15:48:11.971162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1041258
96.0%
5849
 
2.0%
8443
 
1.0%
9250
 
0.6%
661
 
0.1%
255
 
0.1%
416
 
< 0.1%
114
 
< 0.1%
38
 
< 0.1%
78
 
< 0.1%
ValueCountFrequency (%)
114
 
< 0.1%
255
 
0.1%
38
 
< 0.1%
416
 
< 0.1%
5849
2.0%
ValueCountFrequency (%)
1041258
96.0%
9250
 
0.6%
8443
 
1.0%
78
 
< 0.1%
661
 
0.1%

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.579698338
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:12.070065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.359768472
Coefficient of variation (CV)0.1419427234
Kurtosis17.49548611
Mean9.579698338
Median Absolute Deviation (MAD)0
Skewness-4.051365088
Sum411563
Variance1.848970296
MonotonicityNot monotonic
2021-05-29T15:48:12.170741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1036915
85.9%
92561
 
6.0%
5787
 
1.8%
8762
 
1.8%
7628
 
1.5%
6505
 
1.2%
1290
 
0.7%
4228
 
0.5%
2153
 
0.4%
3133
 
0.3%
ValueCountFrequency (%)
1290
 
0.7%
2153
 
0.4%
3133
 
0.3%
4228
 
0.5%
5787
1.8%
ValueCountFrequency (%)
1036915
85.9%
92561
 
6.0%
8762
 
1.8%
7628
 
1.5%
6505
 
1.2%

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean0.4374187348
Minimum0
Maximum10
Zeros33787
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:12.267551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.029657884
Coefficient of variation (CV)4.64007991
Kurtosis17.93882446
Mean0.4374187348
Median Absolute Deviation (MAD)0
Skewness4.456240551
Sum15475
Variance4.119511125
MonotonicityNot monotonic
2021-05-29T15:48:12.371819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
033787
78.6%
101483
 
3.5%
542
 
0.1%
725
 
0.1%
818
 
< 0.1%
314
 
< 0.1%
98
 
< 0.1%
21
 
< 0.1%
(Missing)7584
 
17.7%
ValueCountFrequency (%)
033787
78.6%
21
 
< 0.1%
314
 
< 0.1%
542
 
0.1%
725
 
0.1%
ValueCountFrequency (%)
101483
3.5%
98
 
< 0.1%
818
 
< 0.1%
725
 
0.1%
542
 
0.1%

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3760532564
Minimum0
Maximum7
Zeros39983
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:12.649579image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.416897856
Coefficient of variation (CV)3.767811692
Kurtosis11.42658949
Mean0.3760532564
Median Absolute Deviation (MAD)0
Skewness3.623033168
Sum16156
Variance2.007599534
MonotonicityNot monotonic
2021-05-29T15:48:12.759201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
039983
93.1%
61956
 
4.6%
5357
 
0.8%
3340
 
0.8%
7184
 
0.4%
280
 
0.2%
435
 
0.1%
127
 
0.1%
ValueCountFrequency (%)
039983
93.1%
127
 
0.1%
280
 
0.2%
3340
 
0.8%
435
 
0.1%
ValueCountFrequency (%)
7184
 
0.4%
61956
4.6%
5357
 
0.8%
435
 
0.1%
3340
 
0.8%

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8254736744
Minimum0
Maximum7
Zeros35949
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:12.861952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.962660932
Coefficient of variation (CV)2.377617836
Kurtosis2.752862429
Mean0.8254736744
Median Absolute Deviation (MAD)0
Skewness2.113969372
Sum35464
Variance3.852037932
MonotonicityNot monotonic
2021-05-29T15:48:12.970089image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
035949
83.7%
63496
 
8.1%
31442
 
3.4%
51065
 
2.5%
7532
 
1.2%
2209
 
0.5%
4142
 
0.3%
1127
 
0.3%
ValueCountFrequency (%)
035949
83.7%
1127
 
0.3%
2209
 
0.5%
31442
 
3.4%
4142
 
0.3%
ValueCountFrequency (%)
7532
 
1.2%
63496
8.1%
51065
 
2.5%
4142
 
0.3%
31442
3.4%

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.655113822
Minimum0
Maximum7
Zeros29981
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:13.073428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.634217798
Coefficient of variation (CV)1.591562927
Kurtosis-0.7262049921
Mean1.655113822
Median Absolute Deviation (MAD)0
Skewness1.065971234
Sum71107
Variance6.939103408
MonotonicityNot monotonic
2021-05-29T15:48:13.164386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
029981
69.8%
67690
 
17.9%
71975
 
4.6%
31645
 
3.8%
5921
 
2.1%
2327
 
0.8%
1248
 
0.6%
4175
 
0.4%
ValueCountFrequency (%)
029981
69.8%
1248
 
0.6%
2327
 
0.8%
31645
 
3.8%
4175
 
0.4%
ValueCountFrequency (%)
71975
 
4.6%
67690
17.9%
5921
 
2.1%
4175
 
0.4%
31645
 
3.8%

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.017201248
Minimum0
Maximum7
Zeros34895
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:13.248649image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.23234489
Coefficient of variation (CV)2.194595116
Kurtosis1.687023278
Mean1.017201248
Median Absolute Deviation (MAD)0
Skewness1.870464198
Sum43701
Variance4.983363708
MonotonicityNot monotonic
2021-05-29T15:48:13.339241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
034895
81.2%
64249
 
9.9%
71741
 
4.1%
2915
 
2.1%
3584
 
1.4%
5369
 
0.9%
4128
 
0.3%
181
 
0.2%
ValueCountFrequency (%)
034895
81.2%
181
 
0.2%
2915
 
2.1%
3584
 
1.4%
4128
 
0.3%
ValueCountFrequency (%)
71741
4.1%
64249
9.9%
5369
 
0.9%
4128
 
0.3%
3584
 
1.4%

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63658582
Minimum0
Maximum7
Zeros38422
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:13.439986image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.875460819
Coefficient of variation (CV)2.946124089
Kurtosis5.224113502
Mean0.63658582
Median Absolute Deviation (MAD)0
Skewness2.66208952
Sum27349
Variance3.517353283
MonotonicityNot monotonic
2021-05-29T15:48:13.533245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
038422
89.4%
62869
 
6.7%
71152
 
2.7%
5255
 
0.6%
3252
 
0.6%
48
 
< 0.1%
24
 
< 0.1%
ValueCountFrequency (%)
038422
89.4%
24
 
< 0.1%
3252
 
0.6%
48
 
< 0.1%
5255
 
0.6%
ValueCountFrequency (%)
71152
2.7%
62869
6.7%
5255
 
0.6%
48
 
< 0.1%
3252
 
0.6%

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.526721289
Minimum0
Maximum7
Zeros22410
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:13.620413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.837579407
Coefficient of variation (CV)1.123028258
Kurtosis-1.77898207
Mean2.526721289
Median Absolute Deviation (MAD)0
Skewness0.3414315952
Sum108553
Variance8.051856893
MonotonicityNot monotonic
2021-05-29T15:48:13.708248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
022410
52.2%
614592
34.0%
31727
 
4.0%
51132
 
2.6%
11054
 
2.5%
7782
 
1.8%
2714
 
1.7%
4551
 
1.3%
ValueCountFrequency (%)
022410
52.2%
11054
 
2.5%
2714
 
1.7%
31727
 
4.0%
4551
 
1.3%
ValueCountFrequency (%)
7782
 
1.8%
614592
34.0%
51132
 
2.6%
4551
 
1.3%
31727
 
4.0%

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1995018854
Minimum0
Maximum7
Zeros41226
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:13.792738image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.019639885
Coefficient of variation (CV)5.110928566
Kurtosis26.23316305
Mean0.1995018854
Median Absolute Deviation (MAD)0
Skewness5.216089215
Sum8571
Variance1.039665495
MonotonicityNot monotonic
2021-05-29T15:48:13.886732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
041226
96.0%
6890
 
2.1%
3431
 
1.0%
5189
 
0.4%
7101
 
0.2%
274
 
0.2%
429
 
0.1%
122
 
0.1%
ValueCountFrequency (%)
041226
96.0%
122
 
0.1%
274
 
0.2%
3431
 
1.0%
429
 
0.1%
ValueCountFrequency (%)
7101
 
0.2%
6890
2.1%
5189
 
0.4%
429
 
0.1%
3431
1.0%

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6809273311
Minimum0
Maximum7
Zeros36725
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:13.973893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.769576723
Coefficient of variation (CV)2.598774704
Kurtosis4.396707696
Mean0.6809273311
Median Absolute Deviation (MAD)0
Skewness2.440765157
Sum29254
Variance3.13140178
MonotonicityNot monotonic
2021-05-29T15:48:14.066964image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036725
85.5%
62506
 
5.8%
31272
 
3.0%
5885
 
2.1%
4446
 
1.0%
7440
 
1.0%
2425
 
1.0%
1263
 
0.6%
ValueCountFrequency (%)
036725
85.5%
1263
 
0.6%
2425
 
1.0%
31272
 
3.0%
4446
 
1.0%
ValueCountFrequency (%)
7440
 
1.0%
62506
5.8%
5885
 
2.1%
4446
 
1.0%
31272
3.0%

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4239095014
Minimum0
Maximum7
Zeros39064
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:14.153152image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.427791147
Coefficient of variation (CV)3.368150849
Kurtosis10.14904865
Mean0.4239095014
Median Absolute Deviation (MAD)0
Skewness3.371500035
Sum18212
Variance2.03858756
MonotonicityNot monotonic
2021-05-29T15:48:14.247410image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
039064
90.9%
61326
 
3.1%
31244
 
2.9%
5597
 
1.4%
7391
 
0.9%
2183
 
0.4%
493
 
0.2%
164
 
0.1%
ValueCountFrequency (%)
039064
90.9%
164
 
0.1%
2183
 
0.4%
31244
 
2.9%
493
 
0.2%
ValueCountFrequency (%)
7391
 
0.9%
61326
3.1%
5597
1.4%
493
 
0.2%
31244
2.9%

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.614566361
Minimum0
Maximum7
Zeros37678
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:14.336051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.718502466
Coefficient of variation (CV)2.796284624
Kurtosis5.160339918
Mean0.614566361
Median Absolute Deviation (MAD)0
Skewness2.610124421
Sum26403
Variance2.953250724
MonotonicityNot monotonic
2021-05-29T15:48:14.428896image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037678
87.7%
62757
 
6.4%
31131
 
2.6%
5743
 
1.7%
7241
 
0.6%
2198
 
0.5%
4152
 
0.4%
162
 
0.1%
ValueCountFrequency (%)
037678
87.7%
162
 
0.1%
2198
 
0.5%
31131
 
2.6%
4152
 
0.4%
ValueCountFrequency (%)
7241
 
0.6%
62757
6.4%
5743
 
1.7%
4152
 
0.4%
31131
2.6%

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4072436106
Minimum0
Maximum7
Zeros39737
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:14.515355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.468958035
Coefficient of variation (CV)3.60707448
Kurtosis10.30109182
Mean0.4072436106
Median Absolute Deviation (MAD)0
Skewness3.458731118
Sum17496
Variance2.157837708
MonotonicityNot monotonic
2021-05-29T15:48:14.609982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
039737
92.5%
61887
 
4.4%
5492
 
1.1%
3450
 
1.0%
7300
 
0.7%
245
 
0.1%
441
 
0.1%
110
 
< 0.1%
ValueCountFrequency (%)
039737
92.5%
110
 
< 0.1%
245
 
0.1%
3450
 
1.0%
441
 
0.1%
ValueCountFrequency (%)
7300
 
0.7%
61887
4.4%
5492
 
1.1%
441
 
0.1%
3450
 
1.0%

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9556119361
Minimum0
Maximum6
Zeros25341
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:14.708758image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.42541379
Coefficient of variation (CV)1.491624096
Kurtosis1.222362458
Mean0.9556119361
Median Absolute Deviation (MAD)0
Skewness1.466870058
Sum41055
Variance2.031804473
MonotonicityNot monotonic
2021-05-29T15:48:14.813039image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
025341
59.0%
16096
 
14.2%
25145
 
12.0%
42548
 
5.9%
32465
 
5.7%
51120
 
2.6%
6247
 
0.6%
ValueCountFrequency (%)
025341
59.0%
16096
 
14.2%
25145
 
12.0%
32465
 
5.7%
42548
 
5.9%
ValueCountFrequency (%)
6247
 
0.6%
51120
 
2.6%
42548
5.9%
32465
5.7%
25145
12.0%

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.445323774
Minimum0
Maximum6
Zeros20736
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:14.923455image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.771810917
Coefficient of variation (CV)1.225892045
Kurtosis-0.2367616882
Mean1.445323774
Median Absolute Deviation (MAD)1
Skewness0.987304502
Sum62094
Variance3.139313925
MonotonicityNot monotonic
2021-05-29T15:48:15.031403image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
020736
48.3%
26026
 
14.0%
15449
 
12.7%
43835
 
8.9%
33233
 
7.5%
52544
 
5.9%
61139
 
2.7%
ValueCountFrequency (%)
020736
48.3%
15449
 
12.7%
26026
 
14.0%
33233
 
7.5%
43835
 
8.9%
ValueCountFrequency (%)
61139
 
2.7%
52544
5.9%
43835
8.9%
33233
7.5%
26026
14.0%

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.547530376
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:15.136567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.170354825
Coefficient of variation (CV)0.4842062034
Kurtosis-1.25728655
Mean6.547530376
Median Absolute Deviation (MAD)3
Skewness-0.4031662872
Sum281295
Variance10.05114972
MonotonicityNot monotonic
2021-05-29T15:48:15.258993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1012031
28.0%
55846
13.6%
95829
13.6%
13944
 
9.2%
23386
 
7.9%
82876
 
6.7%
42501
 
5.8%
62501
 
5.8%
72104
 
4.9%
31944
 
4.5%
ValueCountFrequency (%)
13944
9.2%
23386
7.9%
31944
 
4.5%
42501
5.8%
55846
13.6%
ValueCountFrequency (%)
1012031
28.0%
95829
13.6%
82876
 
6.7%
72104
 
4.9%
62501
 
5.8%

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.237349285
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:15.382256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.292575121
Coefficient of variation (CV)0.2783146667
Kurtosis1.112848068
Mean8.237349285
Median Absolute Deviation (MAD)1
Skewness-1.404995523
Sum353893
Variance5.255900685
MonotonicityNot monotonic
2021-05-29T15:48:15.492660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1018064
42.0%
99532
22.2%
84257
 
9.9%
54001
 
9.3%
72042
 
4.8%
61791
 
4.2%
2999
 
2.3%
4936
 
2.2%
1699
 
1.6%
3641
 
1.5%
ValueCountFrequency (%)
1699
 
1.6%
2999
 
2.3%
3641
 
1.5%
4936
 
2.2%
54001
9.3%
ValueCountFrequency (%)
1018064
42.0%
99532
22.2%
84257
 
9.9%
72042
 
4.8%
61791
 
4.2%

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.563404869
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:15.597908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.024221891
Coefficient of variation (CV)0.3998492667
Kurtosis-0.564029077
Mean7.563404869
Median Absolute Deviation (MAD)1
Skewness-0.9277928841
Sum324939
Variance9.145918045
MonotonicityNot monotonic
2021-05-29T15:48:15.701693image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1019871
46.3%
95038
 
11.7%
54110
 
9.6%
12674
 
6.2%
82249
 
5.2%
22054
 
4.8%
62006
 
4.7%
41839
 
4.3%
71702
 
4.0%
31419
 
3.3%
ValueCountFrequency (%)
12674
6.2%
22054
4.8%
31419
 
3.3%
41839
4.3%
54110
9.6%
ValueCountFrequency (%)
1019871
46.3%
95038
 
11.7%
82249
 
5.2%
71702
 
4.0%
62006
 
4.7%

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.90202951
Minimum0
Maximum10
Zeros23291
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:15.794365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.297059574
Coefficient of variation (CV)1.480708435
Kurtosis-1.053842881
Mean2.90202951
Median Absolute Deviation (MAD)0
Skewness0.9127195684
Sum102668
Variance18.46472098
MonotonicityNot monotonic
2021-05-29T15:48:15.928924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
023291
54.2%
108171
 
19.0%
51009
 
2.3%
8629
 
1.5%
7531
 
1.2%
3520
 
1.2%
9337
 
0.8%
1283
 
0.7%
2250
 
0.6%
6180
 
0.4%
(Missing)7584
 
17.7%
ValueCountFrequency (%)
023291
54.2%
1283
 
0.7%
2250
 
0.6%
3520
 
1.2%
4177
 
0.4%
ValueCountFrequency (%)
108171
19.0%
9337
 
0.8%
8629
 
1.5%
7531
 
1.2%
6180
 
0.4%

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.687374889
Minimum0
Maximum7
Zeros31086
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:16.048221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.746567981
Coefficient of variation (CV)1.627716519
Kurtosis-0.8870511223
Mean1.687374889
Median Absolute Deviation (MAD)0
Skewness1.034615326
Sum72493
Variance7.543635673
MonotonicityNot monotonic
2021-05-29T15:48:16.174544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
031086
72.4%
69378
 
21.8%
72057
 
4.8%
5250
 
0.6%
3180
 
0.4%
48
 
< 0.1%
12
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
031086
72.4%
12
 
< 0.1%
21
 
< 0.1%
3180
 
0.4%
48
 
< 0.1%
ValueCountFrequency (%)
72057
 
4.8%
69378
21.8%
5250
 
0.6%
48
 
< 0.1%
3180
 
0.4%

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.624249337
Minimum0
Maximum7
Zeros28556
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:16.292392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.475151796
Coefficient of variation (CV)1.523874285
Kurtosis-0.7451399847
Mean1.624249337
Median Absolute Deviation (MAD)0
Skewness1.030271963
Sum69781
Variance6.126376412
MonotonicityNot monotonic
2021-05-29T15:48:16.416114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
028556
66.5%
68004
 
18.6%
32714
 
6.3%
51526
 
3.6%
2790
 
1.8%
1701
 
1.6%
7340
 
0.8%
4331
 
0.8%
ValueCountFrequency (%)
028556
66.5%
1701
 
1.6%
2790
 
1.8%
32714
 
6.3%
4331
 
0.8%
ValueCountFrequency (%)
7340
 
0.8%
68004
18.6%
51526
 
3.6%
4331
 
0.8%
32714
 
6.3%

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.168427913
Minimum0
Maximum7
Zeros33786
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:16.522980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.341262999
Coefficient of variation (CV)2.003771883
Kurtosis0.7894047878
Mean1.168427913
Median Absolute Deviation (MAD)0
Skewness1.617544674
Sum50198
Variance5.481512433
MonotonicityNot monotonic
2021-05-29T15:48:16.638164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
033786
78.6%
65056
 
11.8%
71647
 
3.8%
31180
 
2.7%
5669
 
1.6%
2332
 
0.8%
4164
 
0.4%
1128
 
0.3%
ValueCountFrequency (%)
033786
78.6%
1128
 
0.3%
2332
 
0.8%
31180
 
2.7%
4164
 
0.4%
ValueCountFrequency (%)
71647
 
3.8%
65056
11.8%
5669
 
1.6%
4164
 
0.4%
31180
 
2.7%

D19_KONSUMTYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean3.695884448
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:16.746428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.761664716
Coefficient of variation (CV)0.7472270184
Kurtosis-0.2748055142
Mean3.695884448
Median Absolute Deviation (MAD)1
Skewness1.069897628
Sum130753
Variance7.626792005
MonotonicityNot monotonic
2021-05-29T15:48:17.099782image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311442
26.6%
17750
18.0%
96443
15.0%
25987
13.9%
41653
 
3.8%
61589
 
3.7%
5514
 
1.2%
(Missing)7584
17.7%
ValueCountFrequency (%)
17750
18.0%
25987
13.9%
311442
26.6%
41653
 
3.8%
5514
 
1.2%
ValueCountFrequency (%)
96443
15.0%
61589
 
3.7%
5514
 
1.2%
41653
 
3.8%
311442
26.6%

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.612518039
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:17.192805image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.219637653
Coefficient of variation (CV)0.6980216934
Kurtosis-1.732328883
Mean4.612518039
Median Absolute Deviation (MAD)2
Skewness0.3138652574
Sum198163
Variance10.36606661
MonotonicityNot monotonic
2021-05-29T15:48:17.284450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
214297
33.3%
89673
22.5%
97584
17.7%
16366
14.8%
32605
 
6.1%
42437
 
5.7%
ValueCountFrequency (%)
16366
14.8%
214297
33.3%
32605
 
6.1%
42437
 
5.7%
89673
22.5%
ValueCountFrequency (%)
97584
17.7%
89673
22.5%
42437
 
5.7%
32605
 
6.1%
214297
33.3%

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.108188632
Minimum0
Maximum7
Zeros28919
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:17.369426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.043675997
Coefficient of variation (CV)1.443739878
Kurtosis-1.359773033
Mean2.108188632
Median Absolute Deviation (MAD)0
Skewness0.7729636282
Sum90572
Variance9.263963577
MonotonicityNot monotonic
2021-05-29T15:48:17.458053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
028919
67.3%
67229
 
16.8%
76659
 
15.5%
374
 
0.2%
563
 
0.1%
48
 
< 0.1%
26
 
< 0.1%
14
 
< 0.1%
ValueCountFrequency (%)
028919
67.3%
14
 
< 0.1%
26
 
< 0.1%
374
 
0.2%
48
 
< 0.1%
ValueCountFrequency (%)
76659
15.5%
67229
16.8%
563
 
0.1%
48
 
< 0.1%
374
 
0.2%

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6862343466
Minimum0
Maximum7
Zeros37467
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:17.541330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.853459469
Coefficient of variation (CV)2.700913293
Kurtosis4.266564666
Mean0.6862343466
Median Absolute Deviation (MAD)0
Skewness2.453815764
Sum29482
Variance3.435312004
MonotonicityNot monotonic
2021-05-29T15:48:17.631500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037467
87.2%
63243
 
7.5%
3957
 
2.2%
5623
 
1.5%
7530
 
1.2%
281
 
0.2%
435
 
0.1%
126
 
0.1%
ValueCountFrequency (%)
037467
87.2%
126
 
0.1%
281
 
0.2%
3957
 
2.2%
435
 
0.1%
ValueCountFrequency (%)
7530
 
1.2%
63243
7.5%
5623
 
1.5%
435
 
0.1%
3957
 
2.2%

D19_LETZTER_KAUF_BRANCHE
Categorical

MISSING

Distinct35
Distinct (%)0.1%
Missing7584
Missing (%)17.7%
Memory size335.8 KiB
D19_UNBEKANNT
10276 
D19_SONSTIGE
2753 
D19_VERSICHERUNGEN
2662 
D19_VOLLSORTIMENT
2289 
D19_HAUS_DEKO
2224 
Other values (30)
15174 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD19_UNBEKANNT
2nd rowD19_TELKO_MOBILE
3rd rowD19_LEBENSMITTEL
4th rowD19_UNBEKANNT
5th rowD19_BEKLEIDUNG_GEH

Common Values

ValueCountFrequency (%)
D19_UNBEKANNT10276
23.9%
D19_SONSTIGE2753
 
6.4%
D19_VERSICHERUNGEN2662
 
6.2%
D19_VOLLSORTIMENT2289
 
5.3%
D19_HAUS_DEKO2224
 
5.2%
D19_BUCH_CD2089
 
4.9%
D19_DROGERIEARTIKEL1112
 
2.6%
D19_BEKLEIDUNG_REST1056
 
2.5%
D19_BEKLEIDUNG_GEH1054
 
2.5%
D19_SCHUHE1042
 
2.4%
Other values (25)8821
20.5%
(Missing)7584
17.7%

D19_LOTTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.905930239
Minimum0
Maximum7
Zeros20293
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:17.840342image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.386266181
Coefficient of variation (CV)1.16529507
Kurtosis-1.877900534
Mean2.905930239
Median Absolute Deviation (MAD)0
Skewness0.320095582
Sum102806
Variance11.46679865
MonotonicityNot monotonic
2021-05-29T15:48:17.932329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
020293
47.2%
712714
29.6%
62174
 
5.1%
3108
 
0.3%
586
 
0.2%
42
 
< 0.1%
21
 
< 0.1%
(Missing)7584
 
17.7%
ValueCountFrequency (%)
020293
47.2%
21
 
< 0.1%
3108
 
0.3%
42
 
< 0.1%
586
 
0.2%
ValueCountFrequency (%)
712714
29.6%
62174
 
5.1%
586
 
0.2%
42
 
< 0.1%
3108
 
0.3%

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.563497975
Minimum0
Maximum7
Zeros38508
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:18.019545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.713365835
Coefficient of variation (CV)3.040589161
Kurtosis6.360326696
Mean0.563497975
Median Absolute Deviation (MAD)0
Skewness2.841325911
Sum24209
Variance2.935622484
MonotonicityNot monotonic
2021-05-29T15:48:18.115642image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
038508
89.6%
62468
 
5.7%
3695
 
1.6%
7623
 
1.5%
5534
 
1.2%
255
 
0.1%
147
 
0.1%
432
 
0.1%
ValueCountFrequency (%)
038508
89.6%
147
 
0.1%
255
 
0.1%
3695
 
1.6%
432
 
0.1%
ValueCountFrequency (%)
7623
 
1.5%
62468
5.7%
5534
 
1.2%
432
 
0.1%
3695
 
1.6%

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9156463852
Minimum0
Maximum7
Zeros35306
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:18.202535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.072453944
Coefficient of variation (CV)2.263378066
Kurtosis2.075685705
Mean0.9156463852
Median Absolute Deviation (MAD)0
Skewness1.964237218
Sum39338
Variance4.29506535
MonotonicityNot monotonic
2021-05-29T15:48:18.292796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
035306
82.2%
64591
 
10.7%
31051
 
2.4%
2632
 
1.5%
5566
 
1.3%
7537
 
1.2%
4169
 
0.4%
1110
 
0.3%
ValueCountFrequency (%)
035306
82.2%
1110
 
0.3%
2632
 
1.5%
31051
 
2.4%
4169
 
0.4%
ValueCountFrequency (%)
7537
 
1.2%
64591
10.7%
5566
 
1.3%
4169
 
0.4%
31051
 
2.4%

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.060588427
Minimum0
Maximum7
Zeros28298
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:18.378728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.920401013
Coefficient of variation (CV)1.417265561
Kurtosis-1.357436218
Mean2.060588427
Median Absolute Deviation (MAD)0
Skewness0.7582206081
Sum88527
Variance8.528742076
MonotonicityNot monotonic
2021-05-29T15:48:18.469294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
028298
65.9%
69610
 
22.4%
73833
 
8.9%
3472
 
1.1%
5341
 
0.8%
2336
 
0.8%
457
 
0.1%
115
 
< 0.1%
ValueCountFrequency (%)
028298
65.9%
115
 
< 0.1%
2336
 
0.8%
3472
 
1.1%
457
 
0.1%
ValueCountFrequency (%)
73833
 
8.9%
69610
22.4%
5341
 
0.8%
457
 
0.1%
3472
 
1.1%

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.491899818
Minimum0
Maximum7
Zeros31986
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:18.559814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.579540198
Coefficient of variation (CV)1.729030439
Kurtosis-0.5389752606
Mean1.491899818
Median Absolute Deviation (MAD)0
Skewness1.185656488
Sum64095
Variance6.654027633
MonotonicityNot monotonic
2021-05-29T15:48:18.655567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
031986
74.5%
68904
 
20.7%
7814
 
1.9%
5593
 
1.4%
3532
 
1.2%
479
 
0.2%
242
 
0.1%
112
 
< 0.1%
ValueCountFrequency (%)
031986
74.5%
112
 
< 0.1%
242
 
0.1%
3532
 
1.2%
479
 
0.2%
ValueCountFrequency (%)
7814
 
1.9%
68904
20.7%
5593
 
1.4%
479
 
0.2%
3532
 
1.2%

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5499278432
Minimum0
Maximum7
Zeros37508
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:18.741020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.558936622
Coefficient of variation (CV)2.834802131
Kurtosis6.477371411
Mean0.5499278432
Median Absolute Deviation (MAD)0
Skewness2.79274952
Sum23626
Variance2.430283391
MonotonicityNot monotonic
2021-05-29T15:48:18.831776image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037508
87.3%
61827
 
4.3%
31715
 
4.0%
5863
 
2.0%
2529
 
1.2%
7214
 
0.5%
1192
 
0.4%
4114
 
0.3%
ValueCountFrequency (%)
037508
87.3%
1192
 
0.4%
2529
 
1.2%
31715
 
4.0%
4114
 
0.3%
ValueCountFrequency (%)
7214
 
0.5%
61827
4.3%
5863
2.0%
4114
 
0.3%
31715
4.0%

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.617941437
Minimum0
Maximum7
Zeros15258
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:18.920563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.892432674
Coefficient of variation (CV)0.7994691801
Kurtosis-1.723978843
Mean3.617941437
Median Absolute Deviation (MAD)2
Skewness-0.2962165328
Sum155434
Variance8.366166773
MonotonicityNot monotonic
2021-05-29T15:48:19.023418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
616183
37.7%
015258
35.5%
75162
 
12.0%
32891
 
6.7%
51969
 
4.6%
2712
 
1.7%
4491
 
1.1%
1296
 
0.7%
ValueCountFrequency (%)
015258
35.5%
1296
 
0.7%
2712
 
1.7%
32891
 
6.7%
4491
 
1.1%
ValueCountFrequency (%)
75162
 
12.0%
616183
37.7%
51969
 
4.6%
4491
 
1.1%
32891
 
6.7%

D19_SOZIALES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.69410368
Minimum0
Maximum5
Zeros9615
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:19.111711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.510322811
Coefficient of variation (CV)0.8915173425
Kurtosis-0.9806251656
Mean1.69410368
Median Absolute Deviation (MAD)1
Skewness0.4988485443
Sum59934
Variance2.281074993
MonotonicityNot monotonic
2021-05-29T15:48:19.213473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
110991
25.6%
09615
22.4%
38624
20.1%
43196
 
7.4%
21491
 
3.5%
51461
 
3.4%
(Missing)7584
17.7%
ValueCountFrequency (%)
09615
22.4%
110991
25.6%
21491
 
3.5%
38624
20.1%
43196
 
7.4%
ValueCountFrequency (%)
51461
 
3.4%
43196
 
7.4%
38624
20.1%
21491
 
3.5%
110991
25.6%

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.460104278
Minimum0
Maximum7
Zeros25369
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:19.307375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.013667797
Coefficient of variation (CV)1.225016282
Kurtosis-1.710391779
Mean2.460104278
Median Absolute Deviation (MAD)0
Skewness0.4604807392
Sum105691
Variance9.082193588
MonotonicityNot monotonic
2021-05-29T15:48:19.401573image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
025369
59.0%
611292
26.3%
74306
 
10.0%
3912
 
2.1%
5912
 
2.1%
486
 
0.2%
272
 
0.2%
113
 
< 0.1%
ValueCountFrequency (%)
025369
59.0%
113
 
< 0.1%
272
 
0.2%
3912
 
2.1%
486
 
0.2%
ValueCountFrequency (%)
74306
 
10.0%
611292
26.3%
5912
 
2.1%
486
 
0.2%
3912
 
2.1%

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05355895908
Minimum0
Maximum6
Zeros41099
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:19.487998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2730818605
Coefficient of variation (CV)5.09871486
Kurtosis49.50906931
Mean0.05355895908
Median Absolute Deviation (MAD)0
Skewness6.231514103
Sum2301
Variance0.07457370255
MonotonicityNot monotonic
2021-05-29T15:48:19.581457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
041099
95.7%
11481
 
3.4%
2341
 
0.8%
329
 
0.1%
410
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
041099
95.7%
11481
 
3.4%
2341
 
0.8%
329
 
0.1%
410
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
51
 
< 0.1%
410
 
< 0.1%
329
 
0.1%
2341
0.8%

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09627112332
Minimum0
Maximum6
Zeros39720
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:19.667992image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3688173323
Coefficient of variation (CV)3.831027618
Kurtosis26.3568111
Mean0.09627112332
Median Absolute Deviation (MAD)0
Skewness4.617613337
Sum4136
Variance0.1360262246
MonotonicityNot monotonic
2021-05-29T15:48:19.761842image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
039720
92.5%
12469
 
5.7%
2684
 
1.6%
362
 
0.1%
423
 
0.1%
53
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
039720
92.5%
12469
 
5.7%
2684
 
1.6%
362
 
0.1%
423
 
0.1%
ValueCountFrequency (%)
61
 
< 0.1%
53
 
< 0.1%
423
 
0.1%
362
 
0.1%
2684
1.6%

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.465620781
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:19.854699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.33337358
Coefficient of variation (CV)0.1408648847
Kurtosis10.59028856
Mean9.465620781
Median Absolute Deviation (MAD)0
Skewness-3.157357748
Sum406662
Variance1.777885103
MonotonicityNot monotonic
2021-05-29T15:48:19.947408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1033571
78.1%
94563
 
10.6%
81586
 
3.7%
51351
 
3.1%
7706
 
1.6%
6673
 
1.6%
4224
 
0.5%
2100
 
0.2%
199
 
0.2%
389
 
0.2%
ValueCountFrequency (%)
199
 
0.2%
2100
 
0.2%
389
 
0.2%
4224
 
0.5%
51351
3.1%
ValueCountFrequency (%)
1033571
78.1%
94563
 
10.6%
81586
 
3.7%
7706
 
1.6%
6673
 
1.6%

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8581769936
Minimum0
Maximum7
Zeros36119
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:20.036762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.034735216
Coefficient of variation (CV)2.370997162
Kurtosis2.355745115
Mean0.8581769936
Median Absolute Deviation (MAD)0
Skewness2.046708537
Sum36869
Variance4.140147399
MonotonicityNot monotonic
2021-05-29T15:48:20.133548image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036119
84.1%
64623
 
10.8%
3993
 
2.3%
5600
 
1.4%
7339
 
0.8%
4128
 
0.3%
2107
 
0.2%
153
 
0.1%
ValueCountFrequency (%)
036119
84.1%
153
 
0.1%
2107
 
0.2%
3993
 
2.3%
4128
 
0.3%
ValueCountFrequency (%)
7339
 
0.8%
64623
10.8%
5600
 
1.4%
4128
 
0.3%
3993
 
2.3%

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.776127741
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:20.232414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9077051287
Coefficient of variation (CV)0.09284914771
Kurtosis27.54580377
Mean9.776127741
Median Absolute Deviation (MAD)0
Skewness-5.02947815
Sum420002
Variance0.8239286006
MonotonicityNot monotonic
2021-05-29T15:48:20.333526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1039183
91.2%
91734
 
4.0%
5828
 
1.9%
8707
 
1.6%
6230
 
0.5%
7149
 
0.3%
448
 
0.1%
232
 
0.1%
131
 
0.1%
320
 
< 0.1%
ValueCountFrequency (%)
131
 
0.1%
232
 
0.1%
320
 
< 0.1%
448
 
0.1%
5828
1.9%
ValueCountFrequency (%)
1039183
91.2%
91734
 
4.0%
8707
 
1.6%
7149
 
0.3%
6230
 
0.5%

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.978841767
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:20.439108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2514253572
Coefficient of variation (CV)0.02519584568
Kurtosis370.0917397
Mean9.978841767
Median Absolute Deviation (MAD)0
Skewness-17.124395
Sum428711
Variance0.06321471023
MonotonicityNot monotonic
2021-05-29T15:48:20.555216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1042493
98.9%
9260
 
0.6%
8106
 
0.2%
740
 
0.1%
530
 
0.1%
623
 
0.1%
23
 
< 0.1%
33
 
< 0.1%
12
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
12
 
< 0.1%
23
 
< 0.1%
33
 
< 0.1%
42
 
< 0.1%
530
0.1%
ValueCountFrequency (%)
1042493
98.9%
9260
 
0.6%
8106
 
0.2%
740
 
0.1%
623
 
0.1%

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean0.01088246933
Minimum0
Maximum10
Zeros35338
Zeros (%)82.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:20.661450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3264801931
Coefficient of variation (CV)30.00056174
Kurtosis918.3425533
Mean0.01088246933
Median Absolute Deviation (MAD)0
Skewness30.26083086
Sum385
Variance0.1065893165
MonotonicityNot monotonic
2021-05-29T15:48:20.768935image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
035338
82.3%
1037
 
0.1%
53
 
< 0.1%
(Missing)7584
 
17.7%
ValueCountFrequency (%)
035338
82.3%
53
 
< 0.1%
1037
 
0.1%
ValueCountFrequency (%)
1037
 
0.1%
53
 
< 0.1%
035338
82.3%

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6160327731
Minimum0
Maximum7
Zeros37986
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:20.870200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.753162898
Coefficient of variation (CV)2.845892254
Kurtosis5.047523719
Mean0.6160327731
Median Absolute Deviation (MAD)0
Skewness2.609397689
Sum26466
Variance3.073580145
MonotonicityNot monotonic
2021-05-29T15:48:20.980122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
037986
88.4%
63061
 
7.1%
3804
 
1.9%
5723
 
1.7%
7232
 
0.5%
274
 
0.2%
473
 
0.2%
19
 
< 0.1%
ValueCountFrequency (%)
037986
88.4%
19
 
< 0.1%
274
 
0.2%
3804
 
1.9%
473
 
0.2%
ValueCountFrequency (%)
7232
 
0.5%
63061
7.1%
5723
 
1.7%
473
 
0.2%
3804
 
1.9%

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2645826544
Minimum0
Maximum7
Zeros40917
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:21.083488image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.223280465
Coefficient of variation (CV)4.623434094
Kurtosis19.83859882
Mean0.2645826544
Median Absolute Deviation (MAD)0
Skewness4.604508592
Sum11367
Variance1.496415097
MonotonicityNot monotonic
2021-05-29T15:48:21.195963image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
040917
95.2%
6907
 
2.1%
7529
 
1.2%
3350
 
0.8%
5203
 
0.5%
232
 
0.1%
423
 
0.1%
11
 
< 0.1%
ValueCountFrequency (%)
040917
95.2%
11
 
< 0.1%
232
 
0.1%
3350
 
0.8%
423
 
0.1%
ValueCountFrequency (%)
7529
1.2%
6907
2.1%
5203
 
0.5%
423
 
0.1%
3350
 
0.8%

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7746613286
Minimum0
Maximum6
Zeros27763
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:21.298883image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.288737161
Coefficient of variation (CV)1.663613651
Kurtosis2.380534371
Mean0.7746613286
Median Absolute Deviation (MAD)0
Skewness1.7558783
Sum33281
Variance1.66084347
MonotonicityNot monotonic
2021-05-29T15:48:21.397693image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
027763
64.6%
15826
 
13.6%
24545
 
10.6%
32033
 
4.7%
41877
 
4.4%
5750
 
1.7%
6168
 
0.4%
ValueCountFrequency (%)
027763
64.6%
15826
 
13.6%
24545
 
10.6%
32033
 
4.7%
41877
 
4.4%
ValueCountFrequency (%)
6168
 
0.4%
5750
 
1.7%
41877
4.4%
32033
4.7%
24545
10.6%

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.193473302
Minimum0
Maximum6
Zeros23413
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:21.478023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.64398307
Coefficient of variation (CV)1.377477877
Kurtosis0.495740851
Mean1.193473302
Median Absolute Deviation (MAD)0
Skewness1.260563113
Sum51274
Variance2.702680336
MonotonicityNot monotonic
2021-05-29T15:48:21.579603image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
023413
54.5%
25567
 
13.0%
15533
 
12.9%
43042
 
7.1%
32702
 
6.3%
51897
 
4.4%
6808
 
1.9%
ValueCountFrequency (%)
023413
54.5%
15533
 
12.9%
25567
 
13.0%
32702
 
6.3%
43042
 
7.1%
ValueCountFrequency (%)
6808
 
1.9%
51897
 
4.4%
43042
7.1%
32702
6.3%
25567
13.0%

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.168590848
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:21.678986image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.027906857
Coefficient of variation (CV)0.4223852248
Kurtosis-0.8576203016
Mean7.168590848
Median Absolute Deviation (MAD)1
Skewness-0.7258834537
Sum307977
Variance9.168219932
MonotonicityNot monotonic
2021-05-29T15:48:21.785805image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1014836
34.5%
96948
16.2%
55055
 
11.8%
83064
 
7.1%
12851
 
6.6%
22485
 
5.8%
62240
 
5.2%
41960
 
4.6%
71907
 
4.4%
31616
 
3.8%
ValueCountFrequency (%)
12851
6.6%
22485
5.8%
31616
 
3.8%
41960
 
4.6%
55055
11.8%
ValueCountFrequency (%)
1014836
34.5%
96948
16.2%
83064
 
7.1%
71907
 
4.4%
62240
 
5.2%

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.471812299
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:22.158489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.149832953
Coefficient of variation (CV)0.2537630529
Kurtosis1.9222907
Mean8.471812299
Median Absolute Deviation (MAD)1
Skewness-1.622498229
Sum363966
Variance4.621781725
MonotonicityNot monotonic
2021-05-29T15:48:22.263825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1019939
46.4%
99660
22.5%
83995
 
9.3%
53423
 
8.0%
71794
 
4.2%
61573
 
3.7%
2815
 
1.9%
4716
 
1.7%
1535
 
1.2%
3512
 
1.2%
ValueCountFrequency (%)
1535
 
1.2%
2815
 
1.9%
3512
 
1.2%
4716
 
1.7%
53423
8.0%
ValueCountFrequency (%)
1019939
46.4%
99660
22.5%
83995
 
9.3%
71794
 
4.2%
61573
 
3.7%

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.82775476
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:22.367344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.937353179
Coefficient of variation (CV)0.3752484932
Kurtosis-0.1892625845
Mean7.82775476
Median Absolute Deviation (MAD)0
Skewness-1.105158743
Sum336296
Variance8.628043696
MonotonicityNot monotonic
2021-05-29T15:48:22.467511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1021845
50.8%
95045
 
11.7%
53582
 
8.3%
12335
 
5.4%
82097
 
4.9%
61861
 
4.3%
21846
 
4.3%
41585
 
3.7%
71481
 
3.4%
31285
 
3.0%
ValueCountFrequency (%)
12335
5.4%
21846
4.3%
31285
 
3.0%
41585
3.7%
53582
8.3%
ValueCountFrequency (%)
1021845
50.8%
95045
 
11.7%
82097
 
4.9%
71481
 
3.4%
61861
 
4.3%

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.61620216
Minimum0
Maximum10
Zeros24597
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:22.557616image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.183047724
Coefficient of variation (CV)1.598900799
Kurtosis-0.7358216122
Mean2.61620216
Median Absolute Deviation (MAD)0
Skewness1.074200242
Sum92556
Variance17.49788826
MonotonicityNot monotonic
2021-05-29T15:48:22.653062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
024597
57.3%
107494
 
17.4%
5916
 
2.1%
8496
 
1.2%
3486
 
1.1%
7439
 
1.0%
9280
 
0.7%
1203
 
0.5%
2178
 
0.4%
6151
 
0.4%
(Missing)7584
 
17.7%
ValueCountFrequency (%)
024597
57.3%
1203
 
0.5%
2178
 
0.4%
3486
 
1.1%
4138
 
0.3%
ValueCountFrequency (%)
107494
17.4%
9280
 
0.7%
8496
 
1.2%
7439
 
1.0%
6151
 
0.4%

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7223592943
Minimum0
Maximum7
Zeros36458
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:22.749937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.807373135
Coefficient of variation (CV)2.502041781
Kurtosis3.65514105
Mean0.7223592943
Median Absolute Deviation (MAD)0
Skewness2.298122007
Sum31034
Variance3.26659765
MonotonicityNot monotonic
2021-05-29T15:48:22.854577image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036458
84.9%
63009
 
7.0%
31778
 
4.1%
51022
 
2.4%
2239
 
0.6%
7192
 
0.4%
4150
 
0.3%
1114
 
0.3%
ValueCountFrequency (%)
036458
84.9%
1114
 
0.3%
2239
 
0.6%
31778
 
4.1%
4150
 
0.3%
ValueCountFrequency (%)
7192
 
0.4%
63009
7.0%
51022
 
2.4%
4150
 
0.3%
31778
4.1%

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1132163307
Minimum0
Maximum6
Zeros39485
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:22.950348image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.422899479
Coefficient of variation (CV)3.735322249
Kurtosis23.59097344
Mean0.1132163307
Median Absolute Deviation (MAD)0
Skewness4.467679767
Sum4864
Variance0.1788439694
MonotonicityNot monotonic
2021-05-29T15:48:23.051039image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
039485
91.9%
12327
 
5.4%
2965
 
2.2%
3141
 
0.3%
437
 
0.1%
56
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
039485
91.9%
12327
 
5.4%
2965
 
2.2%
3141
 
0.3%
437
 
0.1%
ValueCountFrequency (%)
61
 
< 0.1%
56
 
< 0.1%
437
 
0.1%
3141
 
0.3%
2965
2.2%

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1961966389
Minimum0
Maximum6
Zeros37473
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:23.145126image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58282604
Coefficient of variation (CV)2.97062194
Kurtosis14.58017382
Mean0.1961966389
Median Absolute Deviation (MAD)0
Skewness3.567704655
Sum8429
Variance0.3396861928
MonotonicityNot monotonic
2021-05-29T15:48:23.244210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
037473
87.2%
13287
 
7.7%
21668
 
3.9%
3355
 
0.8%
4156
 
0.4%
521
 
< 0.1%
62
 
< 0.1%
ValueCountFrequency (%)
037473
87.2%
13287
 
7.7%
21668
 
3.9%
3355
 
0.8%
4156
 
0.4%
ValueCountFrequency (%)
62
 
< 0.1%
521
 
< 0.1%
4156
 
0.4%
3355
 
0.8%
21668
3.9%

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.156440575
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:23.343999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.906264354
Coefficient of variation (CV)0.2081883607
Kurtosis6.062519874
Mean9.156440575
Median Absolute Deviation (MAD)0
Skewness-2.575567305
Sum393379
Variance3.633843786
MonotonicityNot monotonic
2021-05-29T15:48:23.457113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1032256
75.1%
93611
 
8.4%
51637
 
3.8%
81606
 
3.7%
61110
 
2.6%
7902
 
2.1%
2750
 
1.7%
1416
 
1.0%
4375
 
0.9%
3299
 
0.7%
ValueCountFrequency (%)
1416
 
1.0%
2750
1.7%
3299
 
0.7%
4375
 
0.9%
51637
3.8%
ValueCountFrequency (%)
1032256
75.1%
93611
 
8.4%
81606
 
3.7%
7902
 
2.1%
61110
 
2.6%

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.898887389
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:23.570823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6328669929
Coefficient of variation (CV)0.06393314401
Kurtosis55.71106942
Mean9.898887389
Median Absolute Deviation (MAD)0
Skewness-7.263246089
Sum425276
Variance0.4005206307
MonotonicityNot monotonic
2021-05-29T15:48:23.684525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1041452
96.5%
9563
 
1.3%
5485
 
1.1%
8272
 
0.6%
6106
 
0.2%
751
 
0.1%
413
 
< 0.1%
39
 
< 0.1%
16
 
< 0.1%
25
 
< 0.1%
ValueCountFrequency (%)
16
 
< 0.1%
25
 
< 0.1%
39
 
< 0.1%
413
 
< 0.1%
5485
1.1%
ValueCountFrequency (%)
1041452
96.5%
9563
 
1.3%
8272
 
0.6%
751
 
0.1%
6106
 
0.2%

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

SKEWED

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.984288441
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:23.790265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2582136755
Coefficient of variation (CV)0.02586200079
Kurtosis462.2149483
Mean9.984288441
Median Absolute Deviation (MAD)0
Skewness-20.21632487
Sum428945
Variance0.06667430222
MonotonicityNot monotonic
2021-05-29T15:48:23.903058image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1042735
99.5%
973
 
0.2%
843
 
0.1%
538
 
0.1%
730
 
0.1%
621
 
< 0.1%
411
 
< 0.1%
25
 
< 0.1%
34
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
12
 
< 0.1%
25
 
< 0.1%
34
 
< 0.1%
411
 
< 0.1%
538
0.1%
ValueCountFrequency (%)
1042735
99.5%
973
 
0.2%
843
 
0.1%
730
 
0.1%
621
 
< 0.1%

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing7584
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean0.01605517553
Minimum0
Maximum10
Zeros35318
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:24.000708image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3951854533
Coefficient of variation (CV)24.61420945
Kurtosis622.6117964
Mean0.01605517553
Median Absolute Deviation (MAD)0
Skewness24.91069139
Sum568
Variance0.1561715425
MonotonicityNot monotonic
2021-05-29T15:48:24.089951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
035318
82.2%
1054
 
0.1%
55
 
< 0.1%
31
 
< 0.1%
(Missing)7584
 
17.7%
ValueCountFrequency (%)
035318
82.2%
31
 
< 0.1%
55
 
< 0.1%
1054
 
0.1%
ValueCountFrequency (%)
1054
 
0.1%
55
 
< 0.1%
31
 
< 0.1%
035318
82.2%

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.195381965
Minimum0
Maximum7
Zeros32015
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:24.171635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.199961507
Coefficient of variation (CV)1.840383719
Kurtosis0.464544979
Mean1.195381965
Median Absolute Deviation (MAD)0
Skewness1.482638204
Sum51356
Variance4.839830632
MonotonicityNot monotonic
2021-05-29T15:48:24.263976image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
032015
74.5%
65217
 
12.1%
32327
 
5.4%
51474
 
3.4%
2714
 
1.7%
4538
 
1.3%
1436
 
1.0%
7241
 
0.6%
ValueCountFrequency (%)
032015
74.5%
1436
 
1.0%
2714
 
1.7%
32327
 
5.4%
4538
 
1.3%
ValueCountFrequency (%)
7241
 
0.6%
65217
12.1%
51474
 
3.4%
4538
 
1.3%
32327
5.4%

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.845374983
Minimum0
Maximum7
Zeros20628
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:24.360601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.892541053
Coefficient of variation (CV)1.016576399
Kurtosis-1.831033011
Mean2.845374983
Median Absolute Deviation (MAD)3
Skewness0.1539149855
Sum122243
Variance8.366793743
MonotonicityNot monotonic
2021-05-29T15:48:24.460222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
020628
48.0%
614261
33.2%
33100
 
7.2%
72388
 
5.6%
51721
 
4.0%
2442
 
1.0%
4250
 
0.6%
1172
 
0.4%
ValueCountFrequency (%)
020628
48.0%
1172
 
0.4%
2442
 
1.0%
33100
 
7.2%
4250
 
0.6%
ValueCountFrequency (%)
72388
 
5.6%
614261
33.2%
51721
 
4.0%
4250
 
0.6%
33100
 
7.2%

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8420930124
Minimum0
Maximum7
Zeros36950
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:24.549700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.123263069
Coefficient of variation (CV)2.521411575
Kurtosis2.922960589
Mean0.8420930124
Median Absolute Deviation (MAD)0
Skewness2.188275769
Sum36178
Variance4.50824606
MonotonicityNot monotonic
2021-05-29T15:48:24.646401image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
036950
86.0%
63238
 
7.5%
71894
 
4.4%
5414
 
1.0%
3387
 
0.9%
452
 
0.1%
226
 
0.1%
11
 
< 0.1%
ValueCountFrequency (%)
036950
86.0%
11
 
< 0.1%
226
 
0.1%
3387
 
0.9%
452
 
0.1%
ValueCountFrequency (%)
71894
4.4%
63238
7.5%
5414
 
1.0%
452
 
0.1%
3387
 
0.9%

DSL_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.9805314765
Minimum0
Maximum1
Zeros685
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:24.738862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1381667206
Coefficient of variation (CV)0.1409100308
Kurtosis46.39158136
Mean0.9805314765
Median Absolute Deviation (MAD)0
Skewness-6.956216238
Sum34500
Variance0.01909004267
MonotonicityNot monotonic
2021-05-29T15:48:24.833628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
134500
80.3%
0685
 
1.6%
(Missing)7777
 
18.1%
ValueCountFrequency (%)
0685
 
1.6%
134500
80.3%
ValueCountFrequency (%)
134500
80.3%
0685
 
1.6%

EINGEFUEGT_AM
Categorical

HIGH CARDINALITY
MISSING

Distinct1599
Distinct (%)4.5%
Missing7777
Missing (%)18.1%
Memory size335.8 KiB
1992-02-10 00:00:00
18156 
1992-02-12 00:00:00
8167 
1995-02-07 00:00:00
 
519
1993-03-01 00:00:00
 
249
2003-11-18 00:00:00
 
215
Other values (1594)
7879 

Unique

Unique683 ?
Unique (%)1.9%

Sample

1st row1992-02-10 00:00:00
2nd row1997-05-14 00:00:00
3rd row1995-05-24 00:00:00
4th row1992-02-10 00:00:00
5th row1992-02-10 00:00:00

Common Values

ValueCountFrequency (%)
1992-02-10 00:00:0018156
42.3%
1992-02-12 00:00:008167
19.0%
1995-02-07 00:00:00519
 
1.2%
1993-03-01 00:00:00249
 
0.6%
2003-11-18 00:00:00215
 
0.5%
2005-12-16 00:00:00149
 
0.3%
1995-10-17 00:00:00111
 
0.3%
1993-09-21 00:00:0098
 
0.2%
1994-02-03 00:00:0093
 
0.2%
2004-04-14 00:00:0092
 
0.2%
Other values (1589)7336
17.1%
(Missing)7777
18.1%

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean1998.87367
Minimum1986
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:25.128700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1994
Q11994
median1997
Q32002
95-th percentile2011
Maximum2018
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.776401974
Coefficient of variation (CV)0.002889828437
Kurtosis0.2697256702
Mean1998.87367
Median Absolute Deviation (MAD)3
Skewness1.102881098
Sum71945460
Variance33.36681976
MonotonicityNot monotonic
2021-05-29T15:48:25.279885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
199414397
33.5%
19975154
 
12.0%
20042011
 
4.7%
20011349
 
3.1%
19991348
 
3.1%
19981325
 
3.1%
20001287
 
3.0%
20021203
 
2.8%
20071102
 
2.6%
2008830
 
1.9%
Other values (23)5987
13.9%
(Missing)6969
16.2%
ValueCountFrequency (%)
19861
 
< 0.1%
19872
 
< 0.1%
19883
 
< 0.1%
198916
< 0.1%
199022
0.1%
ValueCountFrequency (%)
201827
 
0.1%
20176
 
< 0.1%
201618
 
< 0.1%
2015488
1.1%
2014412
1.0%

EWDICHTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7799
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean3.78696357
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:25.426850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.735390185
Coefficient of variation (CV)0.458253731
Kurtosis-1.331905684
Mean3.78696357
Median Absolute Deviation (MAD)2
Skewness-0.1889670668
Sum133161
Variance3.011579094
MonotonicityNot monotonic
2021-05-29T15:48:25.573182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
67918
18.4%
26721
15.6%
56720
15.6%
45735
13.3%
14268
9.9%
33801
8.8%
(Missing)7799
18.2%
ValueCountFrequency (%)
14268
9.9%
26721
15.6%
33801
8.8%
45735
13.3%
56720
15.6%
ValueCountFrequency (%)
67918
18.4%
56720
15.6%
45735
13.3%
33801
8.8%
26721
15.6%

EXTSEL992
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)0.2%
Missing15948
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean42.68434886
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:25.734182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q134
median47
Q355
95-th percentile56
Maximum56
Range55
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.56158044
Coefficient of variation (CV)0.3177178709
Kurtosis-0.02078671672
Mean42.68434886
Median Absolute Deviation (MAD)9
Skewness-0.8364997453
Sum1153075
Variance183.916464
MonotonicityNot monotonic
2021-05-29T15:48:25.912365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
566195
 
14.4%
552507
 
5.8%
361407
 
3.3%
311281
 
3.0%
541232
 
2.9%
351227
 
2.9%
501177
 
2.7%
531150
 
2.7%
34940
 
2.2%
23731
 
1.7%
Other values (46)9167
21.3%
(Missing)15948
37.1%
ValueCountFrequency (%)
159
0.1%
2138
0.3%
3138
0.3%
447
 
0.1%
551
 
0.1%
ValueCountFrequency (%)
566195
14.4%
552507
5.8%
541232
 
2.9%
531150
 
2.7%
52328
 
0.8%

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.372026442
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:26.050822image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.544878868
Coefficient of variation (CV)0.6512907446
Kurtosis-1.027864772
Mean2.372026442
Median Absolute Deviation (MAD)1
Skewness0.7267218327
Sum101907
Variance2.386650715
MonotonicityNot monotonic
2021-05-29T15:48:26.167019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
118612
43.3%
29065
21.1%
58326
19.4%
34301
 
10.0%
42658
 
6.2%
ValueCountFrequency (%)
118612
43.3%
29065
21.1%
34301
 
10.0%
42658
 
6.2%
58326
19.4%
ValueCountFrequency (%)
58326
19.4%
42658
 
6.2%
34301
 
10.0%
29065
21.1%
118612
43.3%

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.221963596
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:26.272345image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.283686745
Coefficient of variation (CV)0.3984175199
Kurtosis-1.030987674
Mean3.221963596
Median Absolute Deviation (MAD)1
Skewness-0.02137573192
Sum138422
Variance1.64785166
MonotonicityNot monotonic
2021-05-29T15:48:26.378341image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314074
32.8%
510348
24.1%
28361
19.5%
45853
13.6%
14326
 
10.1%
ValueCountFrequency (%)
14326
 
10.1%
28361
19.5%
314074
32.8%
45853
13.6%
510348
24.1%
ValueCountFrequency (%)
510348
24.1%
45853
13.6%
314074
32.8%
28361
19.5%
14326
 
10.1%

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.743005447
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:26.482103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.090230172
Coefficient of variation (CV)0.2912713293
Kurtosis-1.016818132
Mean3.743005447
Median Absolute Deviation (MAD)1
Skewness-0.2620273157
Sum160807
Variance1.188601828
MonotonicityNot monotonic
2021-05-29T15:48:26.589122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
514764
34.4%
314297
33.3%
48451
19.7%
24842
 
11.3%
1608
 
1.4%
ValueCountFrequency (%)
1608
 
1.4%
24842
 
11.3%
314297
33.3%
48451
19.7%
514764
34.4%
ValueCountFrequency (%)
514764
34.4%
48451
19.7%
314297
33.3%
24842
 
11.3%
1608
 
1.4%

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.858991667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:26.691252image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.235721471
Coefficient of variation (CV)0.6647267402
Kurtosis-0.5294347268
Mean1.858991667
Median Absolute Deviation (MAD)0
Skewness1.047320705
Sum79866
Variance1.527007554
MonotonicityNot monotonic
2021-05-29T15:48:26.785029image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
126360
61.4%
48046
 
18.7%
25580
 
13.0%
32359
 
5.5%
5617
 
1.4%
ValueCountFrequency (%)
126360
61.4%
25580
 
13.0%
32359
 
5.5%
48046
 
18.7%
5617
 
1.4%
ValueCountFrequency (%)
5617
 
1.4%
48046
 
18.7%
32359
 
5.5%
25580
 
13.0%
126360
61.4%

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.257413528
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:26.873792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.497561807
Coefficient of variation (CV)0.663397197
Kurtosis-0.6447710918
Mean2.257413528
Median Absolute Deviation (MAD)1
Skewness0.9218843122
Sum96983
Variance2.242691366
MonotonicityNot monotonic
2021-05-29T15:48:26.972302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
119177
44.6%
210483
24.4%
57957
18.5%
34325
 
10.1%
41020
 
2.4%
ValueCountFrequency (%)
119177
44.6%
210483
24.4%
34325
 
10.1%
41020
 
2.4%
57957
18.5%
ValueCountFrequency (%)
57957
18.5%
41020
 
2.4%
34325
 
10.1%
210483
24.4%
119177
44.6%

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.259485126
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:27.063183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.984685931
Coefficient of variation (CV)0.2311748725
Kurtosis0.6147583771
Mean4.259485126
Median Absolute Deviation (MAD)0
Skewness-1.144627133
Sum182996
Variance0.9696063828
MonotonicityNot monotonic
2021-05-29T15:48:27.155800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
524524
57.1%
39215
 
21.4%
47557
 
17.6%
2837
 
1.9%
1829
 
1.9%
ValueCountFrequency (%)
1829
 
1.9%
2837
 
1.9%
39215
 
21.4%
47557
 
17.6%
524524
57.1%
ValueCountFrequency (%)
524524
57.1%
47557
 
17.6%
39215
 
21.4%
2837
 
1.9%
1829
 
1.9%

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.27047158
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:27.239799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.668446465
Coefficient of variation (CV)0.3906937288
Kurtosis-1.304985555
Mean4.27047158
Median Absolute Deviation (MAD)1
Skewness-0.4494843445
Sum183468
Variance2.783713606
MonotonicityNot monotonic
2021-05-29T15:48:27.334131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
615058
35.0%
210791
25.1%
57585
17.7%
47447
17.3%
11209
 
2.8%
3872
 
2.0%
ValueCountFrequency (%)
11209
 
2.8%
210791
25.1%
3872
 
2.0%
47447
17.3%
57585
17.7%
ValueCountFrequency (%)
615058
35.0%
57585
17.7%
47447
17.3%
3872
 
2.0%
210791
25.1%

FIRMENDICHTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean3.562313486
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:27.420253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.091114372
Coefficient of variation (CV)0.3062937545
Kurtosis-0.5572729187
Mean3.562313486
Median Absolute Deviation (MAD)1
Skewness-0.4616224196
Sum125340
Variance1.190530573
MonotonicityNot monotonic
2021-05-29T15:48:27.514371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
413005
30.3%
38254
19.2%
57350
17.1%
25232
12.2%
11344
 
3.1%
(Missing)7777
18.1%
ValueCountFrequency (%)
11344
 
3.1%
25232
12.2%
38254
19.2%
413005
30.3%
57350
17.1%
ValueCountFrequency (%)
57350
17.1%
413005
30.3%
38254
19.2%
25232
12.2%
11344
 
3.1%

GEBAEUDETYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.52860594
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:27.603393image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.517929443
Coefficient of variation (CV)0.9957777144
Kurtosis0.6654017961
Mean2.52860594
Median Absolute Deviation (MAD)0
Skewness1.507798841
Sum88969
Variance6.339968682
MonotonicityNot monotonic
2021-05-29T15:48:27.706023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
122260
51.8%
36753
 
15.7%
85642
 
13.1%
2436
 
1.0%
461
 
0.1%
633
 
0.1%
(Missing)7777
 
18.1%
ValueCountFrequency (%)
122260
51.8%
2436
 
1.0%
36753
 
15.7%
461
 
0.1%
633
 
0.1%
ValueCountFrequency (%)
85642
13.1%
633
 
0.1%
461
 
0.1%
36753
15.7%
2436
 
1.0%

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean3.807616882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:27.806950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8823911293
Coefficient of variation (CV)0.231743675
Kurtosis0.4021013406
Mean3.807616882
Median Absolute Deviation (MAD)1
Skewness-0.6404895008
Sum133971
Variance0.7786141051
MonotonicityNot monotonic
2021-05-29T15:48:27.919322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
416815
39.1%
38436
19.6%
57350
17.1%
22069
 
4.8%
1515
 
1.2%
(Missing)7777
18.1%
ValueCountFrequency (%)
1515
 
1.2%
22069
 
4.8%
38436
19.6%
416815
39.1%
57350
17.1%
ValueCountFrequency (%)
57350
17.1%
416815
39.1%
38436
19.6%
22069
 
4.8%
1515
 
1.2%

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct108
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1155.7056
Minimum0
Maximum2017
Zeros17475
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:28.056185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1934
Q31949
95-th percentile1970
Maximum2017
Range2017
Interquartile range (IQR)1949

Descriptive statistics

Standard deviation957.0475869
Coefficient of variation (CV)0.8281067312
Kurtosis-1.855674476
Mean1155.7056
Median Absolute Deviation (MAD)29
Skewness-0.3792022153
Sum49651424
Variance915940.0837
MonotonicityNot monotonic
2021-05-29T15:48:28.213581image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017475
40.7%
1941918
 
2.1%
1939871
 
2.0%
1940847
 
2.0%
1938791
 
1.8%
1936731
 
1.7%
1935710
 
1.7%
1943694
 
1.6%
1942692
 
1.6%
1937682
 
1.6%
Other values (98)18551
43.2%
ValueCountFrequency (%)
017475
40.7%
19051
 
< 0.1%
19081
 
< 0.1%
19092
 
< 0.1%
19101
 
< 0.1%
ValueCountFrequency (%)
20174
 
< 0.1%
20164
 
< 0.1%
201510
< 0.1%
20144
 
< 0.1%
20136
< 0.1%

GEMEINDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing7955
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean25.25286371
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:28.334447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q340
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)28

Descriptive statistics

Standard deviation12.54814148
Coefficient of variation (CV)0.4968997428
Kurtosis-0.9216244006
Mean25.25286371
Median Absolute Deviation (MAD)10
Skewness0.4845956535
Sum884027
Variance157.4558547
MonotonicityNot monotonic
2021-05-29T15:48:28.445749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
116987
16.3%
226466
15.1%
406020
14.0%
305761
13.4%
124282
10.0%
502917
 
6.8%
212574
 
6.0%
(Missing)7955
18.5%
ValueCountFrequency (%)
116987
16.3%
124282
10.0%
212574
 
6.0%
226466
15.1%
305761
13.4%
ValueCountFrequency (%)
502917
6.8%
406020
14.0%
305761
13.4%
226466
15.1%
212574
 
6.0%

GFK_URLAUBERTYP
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.514531246
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:28.901330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.017390282
Coefficient of variation (CV)0.4631784188
Kurtosis-0.9985352663
Mean6.514531246
Median Absolute Deviation (MAD)2
Skewness0.1679486803
Sum275936
Variance9.104644112
MonotonicityNot monotonic
2021-05-29T15:48:28.993422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
59812
22.8%
106070
14.1%
84301
10.0%
44281
10.0%
33803
 
8.9%
73420
 
8.0%
122450
 
5.7%
112045
 
4.8%
11838
 
4.3%
61653
 
3.8%
Other values (2)2684
 
6.2%
ValueCountFrequency (%)
11838
 
4.3%
21216
 
2.8%
33803
 
8.9%
44281
10.0%
59812
22.8%
ValueCountFrequency (%)
122450
5.7%
112045
 
4.8%
106070
14.1%
91468
 
3.4%
84301
10.0%

GREEN_AVANTGARDE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2798519622
Minimum0
Maximum1
Zeros30939
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:29.074219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4489315455
Coefficient of variation (CV)1.604175086
Kurtosis-1.038059964
Mean0.2798519622
Median Absolute Deviation (MAD)0
Skewness0.9808100543
Sum12023
Variance0.2015395326
MonotonicityNot monotonic
2021-05-29T15:48:29.159276image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
030939
72.0%
112023
 
28.0%
ValueCountFrequency (%)
030939
72.0%
112023
 
28.0%
ValueCountFrequency (%)
112023
 
28.0%
030939
72.0%

HEALTH_TYP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.424677622
Minimum-1
Maximum3
Zeros0
Zeros (%)0.0%
Negative7397
Negative (%)17.2%
Memory size335.8 KiB
2021-05-29T15:48:29.240942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11
median2
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.28433394
Coefficient of variation (CV)0.90149092
Kurtosis-0.3726323754
Mean1.424677622
Median Absolute Deviation (MAD)1
Skewness-0.7884156886
Sum61207
Variance1.64951367
MonotonicityNot monotonic
2021-05-29T15:48:29.330748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
217053
39.7%
110519
24.5%
37993
18.6%
-17397
17.2%
ValueCountFrequency (%)
-17397
17.2%
110519
24.5%
217053
39.7%
37993
18.6%
ValueCountFrequency (%)
37993
18.6%
217053
39.7%
110519
24.5%
-17397
17.2%

HH_DELTA_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing9678
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.1289208028
Minimum0
Maximum1
Zeros28993
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:29.415925image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3351172981
Coefficient of variation (CV)2.59940437
Kurtosis2.905317998
Mean0.1289208028
Median Absolute Deviation (MAD)0
Skewness2.214755839
Sum4291
Variance0.1123036035
MonotonicityNot monotonic
2021-05-29T15:48:29.503760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
028993
67.5%
14291
 
10.0%
(Missing)9678
 
22.5%
ValueCountFrequency (%)
028993
67.5%
14291
 
10.0%
ValueCountFrequency (%)
14291
 
10.0%
028993
67.5%

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing704
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean3.559113067
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:29.584108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.657999028
Coefficient of variation (CV)0.4658461242
Kurtosis-1.332669251
Mean3.559113067
Median Absolute Deviation (MAD)2
Skewness0.04993306401
Sum150401
Variance2.748960777
MonotonicityNot monotonic
2021-05-29T15:48:29.675791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
211273
26.2%
57835
18.2%
66958
16.2%
46950
16.2%
34945
11.5%
14297
 
10.0%
(Missing)704
 
1.6%
ValueCountFrequency (%)
14297
 
10.0%
211273
26.2%
34945
11.5%
46950
16.2%
57835
18.2%
ValueCountFrequency (%)
66958
16.2%
57835
18.2%
46950
16.2%
34945
11.5%
211273
26.2%

INNENSTADT
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing7799
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.739129198
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:29.759687image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.01026907
Coefficient of variation (CV)0.4241853273
Kurtosis-0.918889531
Mean4.739129198
Median Absolute Deviation (MAD)1
Skewness-0.02683364011
Sum166642
Variance4.041181734
MonotonicityNot monotonic
2021-05-29T15:48:29.852957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
56475
15.1%
45950
13.8%
65213
12.1%
24234
9.9%
84192
9.8%
33990
9.3%
73351
7.8%
11758
 
4.1%
(Missing)7799
18.2%
ValueCountFrequency (%)
11758
 
4.1%
24234
9.9%
33990
9.3%
45950
13.8%
56475
15.1%
ValueCountFrequency (%)
84192
9.8%
73351
7.8%
65213
12.1%
56475
15.1%
45950
13.8%

KBA05_ALTER1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.801859299
Minimum0
Maximum9
Zeros5246
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:29.942057image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.340189404
Coefficient of variation (CV)0.7437813841
Kurtosis7.342953579
Mean1.801859299
Median Absolute Deviation (MAD)1
Skewness1.678734062
Sum61829
Variance1.796107638
MonotonicityNot monotonic
2021-05-29T15:48:30.029946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
211126
25.9%
19218
21.5%
36452
15.0%
05246
12.2%
41889
 
4.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
05246
12.2%
19218
21.5%
211126
25.9%
36452
15.0%
41889
 
4.4%
ValueCountFrequency (%)
9383
 
0.9%
41889
 
4.4%
36452
15.0%
211126
25.9%
19218
21.5%

KBA05_ALTER2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.901410503
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:30.112549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.199741952
Coefficient of variation (CV)0.4135030017
Kurtosis5.794001462
Mean2.901410503
Median Absolute Deviation (MAD)1
Skewness1.406381264
Sum99559
Variance1.439380752
MonotonicityNot monotonic
2021-05-29T15:48:30.209997image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313695
31.9%
28949
20.8%
46054
14.1%
13313
 
7.7%
51920
 
4.5%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
13313
 
7.7%
28949
20.8%
313695
31.9%
46054
14.1%
51920
 
4.5%
ValueCountFrequency (%)
9383
 
0.9%
51920
 
4.5%
46054
14.1%
313695
31.9%
28949
20.8%

KBA05_ALTER3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.138252608
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:30.311428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.204453234
Coefficient of variation (CV)0.3837974135
Kurtosis4.696540955
Mean3.138252608
Median Absolute Deviation (MAD)1
Skewness1.147877142
Sum107686
Variance1.450707593
MonotonicityNot monotonic
2021-05-29T15:48:30.420637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313905
32.4%
47736
18.0%
26750
15.7%
53135
 
7.3%
12405
 
5.6%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12405
 
5.6%
26750
15.7%
313905
32.4%
47736
18.0%
53135
 
7.3%
ValueCountFrequency (%)
9383
 
0.9%
53135
 
7.3%
47736
18.0%
313905
32.4%
26750
15.7%

KBA05_ALTER4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.220726234
Minimum0
Maximum9
Zeros830
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:30.524782image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.260912146
Coefficient of variation (CV)0.3914993249
Kurtosis4.004983825
Mean3.220726234
Median Absolute Deviation (MAD)1
Skewness0.6557965059
Sum110516
Variance1.589899441
MonotonicityNot monotonic
2021-05-29T15:48:30.627431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
314330
33.4%
48316
19.4%
25056
 
11.8%
53826
 
8.9%
11573
 
3.7%
0830
 
1.9%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
0830
 
1.9%
11573
 
3.7%
25056
 
11.8%
314330
33.4%
48316
19.4%
ValueCountFrequency (%)
9383
 
0.9%
53826
 
8.9%
48316
19.4%
314330
33.4%
25056
 
11.8%

KBA05_ANHANG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.191787609
Minimum0
Maximum9
Zeros9912
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:30.723101image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.265855876
Coefficient of variation (CV)1.062148882
Kurtosis13.06354412
Mean1.191787609
Median Absolute Deviation (MAD)1
Skewness2.665656716
Sum40895
Variance1.602391098
MonotonicityNot monotonic
2021-05-29T15:48:30.803706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
115248
35.5%
09912
23.1%
34812
 
11.2%
23981
 
9.3%
9361
 
0.8%
(Missing)8648
20.1%
ValueCountFrequency (%)
09912
23.1%
115248
35.5%
23981
 
9.3%
34812
 
11.2%
9361
 
0.8%
ValueCountFrequency (%)
9361
 
0.8%
34812
 
11.2%
23981
 
9.3%
115248
35.5%
09912
23.1%

KBA05_ANTG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.848574926
Minimum0
Maximum4
Zeros9114
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:30.883803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.449277392
Coefficient of variation (CV)0.7839971058
Kurtosis-1.357388562
Mean1.848574926
Median Absolute Deviation (MAD)1
Skewness0.08200770612
Sum63432
Variance2.100404958
MonotonicityNot monotonic
2021-05-29T15:48:30.973363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
09114
21.2%
36924
16.1%
26591
15.3%
45931
13.8%
15754
13.4%
(Missing)8648
20.1%
ValueCountFrequency (%)
09114
21.2%
15754
13.4%
26591
15.3%
36924
16.1%
45931
13.8%
ValueCountFrequency (%)
45931
13.8%
36924
16.1%
26591
15.3%
15754
13.4%
09114
21.2%

KBA05_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.171941482
Minimum0
Maximum4
Zeros12918
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:31.060020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.156451788
Coefficient of variation (CV)0.9867828779
Kurtosis-0.7064772493
Mean1.171941482
Median Absolute Deviation (MAD)1
Skewness0.6256106174
Sum40214
Variance1.337380738
MonotonicityNot monotonic
2021-05-29T15:48:31.155857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
012918
30.1%
19222
21.5%
26470
15.1%
34764
 
11.1%
4940
 
2.2%
(Missing)8648
20.1%
ValueCountFrequency (%)
012918
30.1%
19222
21.5%
26470
15.1%
34764
 
11.1%
4940
 
2.2%
ValueCountFrequency (%)
4940
 
2.2%
34764
 
11.1%
26470
15.1%
19222
21.5%
012918
30.1%

KBA05_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.4786967419
Minimum0
Maximum3
Zeros26001
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:31.242315image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9381994492
Coefficient of variation (CV)1.959903561
Kurtosis1.718583252
Mean0.4786967419
Median Absolute Deviation (MAD)0
Skewness1.780495705
Sum16426
Variance0.8802182065
MonotonicityNot monotonic
2021-05-29T15:48:31.330026image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
026001
60.5%
12907
 
6.8%
32707
 
6.3%
22699
 
6.3%
(Missing)8648
 
20.1%
ValueCountFrequency (%)
026001
60.5%
12907
 
6.8%
22699
 
6.3%
32707
 
6.3%
ValueCountFrequency (%)
32707
 
6.3%
22699
 
6.3%
12907
 
6.8%
026001
60.5%

KBA05_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.2335489888
Minimum0
Maximum2
Zeros29002
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:31.414953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5800865498
Coefficient of variation (CV)2.483789602
Kurtosis4.026133908
Mean0.2335489888
Median Absolute Deviation (MAD)0
Skewness2.344009406
Sum8014
Variance0.3365004052
MonotonicityNot monotonic
2021-05-29T15:48:31.508960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
029002
67.5%
22702
 
6.3%
12610
 
6.1%
(Missing)8648
 
20.1%
ValueCountFrequency (%)
029002
67.5%
12610
 
6.1%
22702
 
6.3%
ValueCountFrequency (%)
22702
 
6.3%
12610
 
6.1%
029002
67.5%

KBA05_AUTOQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.420644635
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:31.595950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.22936339
Coefficient of variation (CV)0.3593952371
Kurtosis3.365315051
Mean3.420644635
Median Absolute Deviation (MAD)1
Skewness0.6767172155
Sum117376
Variance1.511334344
MonotonicityNot monotonic
2021-05-29T15:48:31.689279image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311545
26.9%
410923
25.4%
54982
11.6%
24211
 
9.8%
12270
 
5.3%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12270
 
5.3%
24211
 
9.8%
311545
26.9%
410923
25.4%
54982
11.6%
ValueCountFrequency (%)
9383
 
0.9%
54982
11.6%
410923
25.4%
311545
26.9%
24211
 
9.8%

KBA05_BAUMAX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.220726234
Minimum0
Maximum5
Zeros14332
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:31.778302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.58808825
Coefficient of variation (CV)1.300937267
Kurtosis0.7005542379
Mean1.220726234
Median Absolute Deviation (MAD)1
Skewness1.405282847
Sum41888
Variance2.522024291
MonotonicityNot monotonic
2021-05-29T15:48:31.889158image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
014332
33.4%
112829
29.9%
53317
 
7.7%
32238
 
5.2%
41282
 
3.0%
2316
 
0.7%
(Missing)8648
20.1%
ValueCountFrequency (%)
014332
33.4%
112829
29.9%
2316
 
0.7%
32238
 
5.2%
41282
 
3.0%
ValueCountFrequency (%)
53317
 
7.7%
41282
 
3.0%
32238
 
5.2%
2316
 
0.7%
112829
29.9%

KBA05_CCM1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.992597774
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:31.986978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.204404722
Coefficient of variation (CV)0.402461277
Kurtosis5.289976708
Mean2.992597774
Median Absolute Deviation (MAD)1
Skewness1.315301334
Sum102688
Variance1.450590733
MonotonicityNot monotonic
2021-05-29T15:48:32.097078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313891
32.3%
28232
19.2%
46492
15.1%
12861
 
6.7%
52455
 
5.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12861
 
6.7%
28232
19.2%
313891
32.3%
46492
15.1%
52455
 
5.7%
ValueCountFrequency (%)
9383
 
0.9%
52455
 
5.7%
46492
15.1%
313891
32.3%
28232
19.2%

KBA05_CCM2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.071049717
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:32.198952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.176554058
Coefficient of variation (CV)0.3831113678
Kurtosis5.605164202
Mean3.071049717
Median Absolute Deviation (MAD)1
Skewness1.299056115
Sum105380
Variance1.384279451
MonotonicityNot monotonic
2021-05-29T15:48:32.308701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314432
33.6%
47445
17.3%
27259
16.9%
12409
 
5.6%
52386
 
5.6%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12409
 
5.6%
27259
16.9%
314432
33.6%
47445
17.3%
52386
 
5.6%
ValueCountFrequency (%)
9383
 
0.9%
52386
 
5.6%
47445
17.3%
314432
33.6%
27259
16.9%

KBA05_CCM3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.120329895
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:32.410020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.208367039
Coefficient of variation (CV)0.3872561812
Kurtosis4.689270463
Mean3.120329895
Median Absolute Deviation (MAD)1
Skewness1.13172801
Sum107071
Variance1.460150901
MonotonicityNot monotonic
2021-05-29T15:48:32.519641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313770
32.1%
47871
18.3%
26740
15.7%
52950
 
6.9%
12600
 
6.1%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12600
 
6.1%
26740
15.7%
313770
32.1%
47871
18.3%
52950
 
6.9%
ValueCountFrequency (%)
9383
 
0.9%
52950
 
6.9%
47871
18.3%
313770
32.1%
26740
15.7%

KBA05_CCM4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.35317946
Minimum0
Maximum9
Zeros10887
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:32.624138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.439305462
Coefficient of variation (CV)1.063647139
Kurtosis7.038340461
Mean1.35317946
Median Absolute Deviation (MAD)1
Skewness1.965284843
Sum46433
Variance2.071600213
MonotonicityNot monotonic
2021-05-29T15:48:32.720381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
111002
25.6%
010887
25.3%
26253
14.6%
33678
 
8.6%
42111
 
4.9%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
010887
25.3%
111002
25.6%
26253
14.6%
33678
 
8.6%
42111
 
4.9%
ValueCountFrequency (%)
9383
 
0.9%
42111
 
4.9%
33678
 
8.6%
26253
14.6%
111002
25.6%

KBA05_DIESEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.103456315
Minimum0
Maximum9
Zeros2354
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:32.811154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.249751295
Coefficient of variation (CV)0.5941417875
Kurtosis8.509008969
Mean2.103456315
Median Absolute Deviation (MAD)1
Skewness1.755831312
Sum72178
Variance1.561878299
MonotonicityNot monotonic
2021-05-29T15:48:32.894583image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
213876
32.3%
37601
17.7%
17408
17.2%
42692
 
6.3%
02354
 
5.5%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
02354
 
5.5%
17408
17.2%
213876
32.3%
37601
17.7%
42692
 
6.3%
ValueCountFrequency (%)
9383
 
0.9%
42692
 
6.3%
37601
17.7%
213876
32.3%
17408
17.2%

KBA05_FRAU
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.062481786
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:32.976863image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200161724
Coefficient of variation (CV)0.3918918733
Kurtosis5.107672919
Mean3.062481786
Median Absolute Deviation (MAD)1
Skewness1.25596147
Sum105086
Variance1.440388163
MonotonicityNot monotonic
2021-05-29T15:48:33.071343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314346
33.4%
27371
17.2%
46819
15.9%
52797
 
6.5%
12598
 
6.0%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12598
 
6.0%
27371
17.2%
314346
33.4%
46819
15.9%
52797
 
6.5%
ValueCountFrequency (%)
9383
 
0.9%
52797
 
6.5%
46819
15.9%
314346
33.4%
27371
17.2%

KBA05_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.397651105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:33.160780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.299036571
Coefficient of variation (CV)0.3823337155
Kurtosis-0.92052144
Mean3.397651105
Median Absolute Deviation (MAD)1
Skewness-0.3875388871
Sum116587
Variance1.687496013
MonotonicityNot monotonic
2021-05-29T15:48:33.251307image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
48867
20.6%
58590
20.0%
38305
19.3%
24702
10.9%
13850
9.0%
(Missing)8648
20.1%
ValueCountFrequency (%)
13850
9.0%
24702
10.9%
38305
19.3%
48867
20.6%
58590
20.0%
ValueCountFrequency (%)
58590
20.0%
48867
20.6%
38305
19.3%
24702
10.9%
13850
9.0%

KBA05_HERST1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.508305648
Minimum0
Maximum9
Zeros2645
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:33.340197image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.503743983
Coefficient of variation (CV)0.5995058795
Kurtosis2.406982689
Mean2.508305648
Median Absolute Deviation (MAD)1
Skewness0.8829167479
Sum86070
Variance2.261245968
MonotonicityNot monotonic
2021-05-29T15:48:33.425796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
210232
23.8%
38391
19.5%
15533
12.9%
44197
9.8%
52933
 
6.8%
02645
 
6.2%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
02645
 
6.2%
15533
12.9%
210232
23.8%
38391
19.5%
44197
9.8%
ValueCountFrequency (%)
9383
 
0.9%
52933
 
6.8%
44197
9.8%
38391
19.5%
210232
23.8%

KBA05_HERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.088535292
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:33.508539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.180464334
Coefficient of variation (CV)0.3822084655
Kurtosis5.414501318
Mean3.088535292
Median Absolute Deviation (MAD)1
Skewness1.321144196
Sum105980
Variance1.393496045
MonotonicityNot monotonic
2021-05-29T15:48:33.602959image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314278
33.2%
27653
17.8%
47119
16.6%
52759
 
6.4%
12122
 
4.9%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12122
 
4.9%
27653
17.8%
314278
33.2%
47119
16.6%
52759
 
6.4%
ValueCountFrequency (%)
9383
 
0.9%
52759
 
6.4%
47119
16.6%
314278
33.2%
27653
17.8%

KBA05_HERST3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.939208486
Minimum0
Maximum9
Zeros600
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:33.695185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.258517322
Coefficient of variation (CV)0.4281823926
Kurtosis4.667198085
Mean2.939208486
Median Absolute Deviation (MAD)1
Skewness1.025855911
Sum100856
Variance1.58386585
MonotonicityNot monotonic
2021-05-29T15:48:33.784892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
313990
32.6%
27688
17.9%
46338
14.8%
12966
 
6.9%
52349
 
5.5%
0600
 
1.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
0600
 
1.4%
12966
 
6.9%
27688
17.9%
313990
32.6%
46338
14.8%
ValueCountFrequency (%)
9383
 
0.9%
52349
 
5.5%
46338
14.8%
313990
32.6%
27688
17.9%

KBA05_HERST4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.888995745
Minimum0
Maximum9
Zeros1037
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:33.870015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.356748115
Coefficient of variation (CV)0.4696262074
Kurtosis3.240260139
Mean2.888995745
Median Absolute Deviation (MAD)1
Skewness0.7988984006
Sum99133
Variance1.840765447
MonotonicityNot monotonic
2021-05-29T15:48:33.959507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
312152
28.3%
27856
18.3%
46312
14.7%
13650
 
8.5%
52924
 
6.8%
01037
 
2.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
01037
 
2.4%
13650
 
8.5%
27856
18.3%
312152
28.3%
46312
14.7%
ValueCountFrequency (%)
9383
 
0.9%
52924
 
6.8%
46312
14.7%
312152
28.3%
27856
18.3%

KBA05_HERST5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.872471877
Minimum0
Maximum9
Zeros1641
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:34.044183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.399151011
Coefficient of variation (CV)0.487089542
Kurtosis2.81747835
Mean2.872471877
Median Absolute Deviation (MAD)1
Skewness0.6308281944
Sum98566
Variance1.957623552
MonotonicityNot monotonic
2021-05-29T15:48:34.129452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311303
26.3%
27812
18.2%
47113
16.6%
13294
 
7.7%
52768
 
6.4%
01641
 
3.8%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
01641
 
3.8%
13294
 
7.7%
27812
18.2%
311303
26.3%
47113
16.6%
ValueCountFrequency (%)
9383
 
0.9%
52768
 
6.4%
47113
16.6%
311303
26.3%
27812
18.2%

KBA05_HERSTTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.674491971
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:34.210129image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.344833271
Coefficient of variation (CV)0.5028369073
Kurtosis4.747922392
Mean2.674491971
Median Absolute Deviation (MAD)1
Skewness1.3770299
Sum94102
Variance1.808576528
MonotonicityNot monotonic
2021-05-29T15:48:34.305849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312167
28.3%
28114
18.9%
17461
17.4%
45211
12.1%
51755
 
4.1%
9477
 
1.1%
(Missing)7777
18.1%
ValueCountFrequency (%)
17461
17.4%
28114
18.9%
312167
28.3%
45211
12.1%
51755
 
4.1%
ValueCountFrequency (%)
9477
 
1.1%
51755
 
4.1%
45211
12.1%
312167
28.3%
28114
18.9%

KBA05_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.285277146
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:34.402443image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.241441684
Coefficient of variation (CV)0.3778803519
Kurtosis3.530424036
Mean3.285277146
Median Absolute Deviation (MAD)1
Skewness0.8832428082
Sum112731
Variance1.541177455
MonotonicityNot monotonic
2021-05-29T15:48:34.512330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313575
31.6%
48032
18.7%
25147
 
12.0%
54740
 
11.0%
12437
 
5.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12437
 
5.7%
25147
 
12.0%
313575
31.6%
48032
18.7%
54740
 
11.0%
ValueCountFrequency (%)
9383
 
0.9%
54740
 
11.0%
48032
18.7%
313575
31.6%
25147
 
12.0%

KBA05_KRSHERST1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.066998893
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:34.613282image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.158735549
Coefficient of variation (CV)0.3778076189
Kurtosis6.029329833
Mean3.066998893
Median Absolute Deviation (MAD)1
Skewness1.36870094
Sum105241
Variance1.342668072
MonotonicityNot monotonic
2021-05-29T15:48:34.723391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314112
32.8%
47873
18.3%
27740
18.0%
12136
 
5.0%
52070
 
4.8%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12136
 
5.0%
27740
18.0%
314112
32.8%
47873
18.3%
52070
 
4.8%
ValueCountFrequency (%)
9383
 
0.9%
52070
 
4.8%
47873
18.3%
314112
32.8%
27740
18.0%

KBA05_KRSHERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.065221193
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:34.824275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.206869309
Coefficient of variation (CV)0.3937299246
Kurtosis4.950031455
Mean3.065221193
Median Absolute Deviation (MAD)1
Skewness1.204069901
Sum105180
Variance1.456533529
MonotonicityNot monotonic
2021-05-29T15:48:34.934190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314134
32.9%
47155
16.7%
27129
16.6%
12778
 
6.5%
52735
 
6.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12778
 
6.5%
27129
16.6%
314134
32.9%
47155
16.7%
52735
 
6.4%
ValueCountFrequency (%)
9383
 
0.9%
52735
 
6.4%
47155
16.7%
314134
32.9%
27129
16.6%

KBA05_KRSHERST3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.078247945
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:35.034833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.233392628
Coefficient of variation (CV)0.4006800782
Kurtosis4.351613266
Mean3.078247945
Median Absolute Deviation (MAD)1
Skewness1.154885203
Sum105627
Variance1.521257374
MonotonicityNot monotonic
2021-05-29T15:48:35.143910image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313784
32.1%
27385
17.2%
46604
15.4%
53371
 
7.8%
12787
 
6.5%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12787
 
6.5%
27385
17.2%
313784
32.1%
46604
15.4%
53371
 
7.8%
ValueCountFrequency (%)
9383
 
0.9%
53371
 
7.8%
46604
15.4%
313784
32.1%
27385
17.2%

KBA05_KRSKLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.06041266
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:35.244407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.960377937
Coefficient of variation (CV)0.4661095109
Kurtosis27.89581616
Mean2.06041266
Median Absolute Deviation (MAD)0
Skewness4.113499575
Sum70701
Variance0.922325782
MonotonicityNot monotonic
2021-05-29T15:48:35.348598image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
220925
48.7%
16807
 
15.8%
36199
 
14.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
16807
 
15.8%
220925
48.7%
36199
 
14.4%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
36199
 
14.4%
220925
48.7%
16807
 
15.8%

KBA05_KRSOBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.080666783
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:35.436166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9391586101
Coefficient of variation (CV)0.4513738662
Kurtosis30.34908343
Mean2.080666783
Median Absolute Deviation (MAD)0
Skewness4.366870082
Sum71396
Variance0.882018895
MonotonicityNot monotonic
2021-05-29T15:48:35.522448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
222210
51.7%
35904
 
13.7%
15817
 
13.5%
9383
 
0.9%
(Missing)8648
 
20.1%
ValueCountFrequency (%)
15817
 
13.5%
222210
51.7%
35904
 
13.7%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
35904
 
13.7%
222210
51.7%
15817
 
13.5%

KBA05_KRSVAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.102990033
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:35.605005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9144317934
Coefficient of variation (CV)0.4348245968
Kurtosis33.57017129
Mean2.102990033
Median Absolute Deviation (MAD)0
Skewness4.700505321
Sum72162
Variance0.8361855047
MonotonicityNot monotonic
2021-05-29T15:48:35.694100image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
223642
55.0%
35571
 
13.0%
14718
 
11.0%
9383
 
0.9%
(Missing)8648
 
20.1%
ValueCountFrequency (%)
14718
 
11.0%
223642
55.0%
35571
 
13.0%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
35571
 
13.0%
223642
55.0%
14718
 
11.0%

KBA05_KRSZUL
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.067727458
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:35.778646image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9979228476
Coefficient of variation (CV)0.4826181728
Kurtosis23.4700167
Mean2.067727458
Median Absolute Deviation (MAD)0
Skewness3.638330664
Sum70952
Variance0.9958500098
MonotonicityNot monotonic
2021-05-29T15:48:35.868176image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
218370
42.8%
17959
18.5%
37602
17.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
17959
18.5%
218370
42.8%
37602
17.7%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
37602
17.7%
218370
42.8%
17959
18.5%

KBA05_KW1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.949350119
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:35.953750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.234019412
Coefficient of variation (CV)0.4184038387
Kurtosis4.812061078
Mean2.949350119
Median Absolute Deviation (MAD)1
Skewness1.208199952
Sum101204
Variance1.522803908
MonotonicityNot monotonic
2021-05-29T15:48:36.047535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313283
30.9%
27902
18.4%
46778
15.8%
13712
 
8.6%
52256
 
5.3%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
13712
 
8.6%
27902
18.4%
313283
30.9%
46778
15.8%
52256
 
5.3%
ValueCountFrequency (%)
9383
 
0.9%
52256
 
5.3%
46778
15.8%
313283
30.9%
27902
18.4%

KBA05_KW2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.133036079
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:36.133889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.177704189
Coefficient of variation (CV)0.3758987
Kurtosis5.317248036
Mean3.133036079
Median Absolute Deviation (MAD)1
Skewness1.254119633
Sum107507
Variance1.386987157
MonotonicityNot monotonic
2021-05-29T15:48:36.228299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314676
34.2%
47507
17.5%
26696
15.6%
52890
 
6.7%
12162
 
5.0%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12162
 
5.0%
26696
15.6%
314676
34.2%
47507
17.5%
52890
 
6.7%
ValueCountFrequency (%)
9383
 
0.9%
52890
 
6.7%
47507
17.5%
314676
34.2%
26696
15.6%

KBA05_KW3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.57341027
Minimum0
Maximum9
Zeros7676
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:36.772230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4323919
Coefficient of variation (CV)0.9103740628
Kurtosis6.209303021
Mean1.57341027
Median Absolute Deviation (MAD)1
Skewness1.765938853
Sum53990
Variance2.051746555
MonotonicityNot monotonic
2021-05-29T15:48:36.874818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
111685
27.2%
27738
18.0%
07676
17.9%
33946
 
9.2%
42886
 
6.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
07676
17.9%
111685
27.2%
27738
18.0%
33946
 
9.2%
42886
 
6.7%
ValueCountFrequency (%)
9383
 
0.9%
42886
 
6.7%
33946
 
9.2%
27738
18.0%
111685
27.2%

KBA05_MAXAH
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.65693303
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:36.966005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.356138266
Coefficient of variation (CV)0.3708403339
Kurtosis0.9747647514
Mean3.65693303
Median Absolute Deviation (MAD)1
Skewness0.3895971997
Sum125484
Variance1.839110997
MonotonicityNot monotonic
2021-05-29T15:48:37.054431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
511962
27.8%
39345
21.8%
26325
14.7%
45081
11.8%
11218
 
2.8%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
11218
 
2.8%
26325
14.7%
39345
21.8%
45081
11.8%
511962
27.8%
ValueCountFrequency (%)
9383
 
0.9%
511962
27.8%
45081
11.8%
39345
21.8%
26325
14.7%

KBA05_MAXBJ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.494841756
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:37.136256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.37048405
Coefficient of variation (CV)0.5493270454
Kurtosis3.505528937
Mean2.494841756
Median Absolute Deviation (MAD)1
Skewness1.163688247
Sum85608
Variance1.878226532
MonotonicityNot monotonic
2021-05-29T15:48:37.228295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
110402
24.2%
49490
22.1%
28318
19.4%
35721
13.3%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
110402
24.2%
28318
19.4%
35721
13.3%
49490
22.1%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
49490
22.1%
35721
13.3%
28318
19.4%
110402
24.2%

KBA05_MAXHERST
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.775805794
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:37.315493image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.294420547
Coefficient of variation (CV)0.4663224459
Kurtosis4.281331029
Mean2.775805794
Median Absolute Deviation (MAD)1
Skewness1.416249411
Sum95249
Variance1.675524552
MonotonicityNot monotonic
2021-05-29T15:48:37.410840image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
212905
30.0%
39109
21.2%
45048
 
11.7%
13968
 
9.2%
52901
 
6.8%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
13968
 
9.2%
212905
30.0%
39109
21.2%
45048
 
11.7%
52901
 
6.8%
ValueCountFrequency (%)
9383
 
0.9%
52901
 
6.8%
45048
 
11.7%
39109
21.2%
212905
30.0%

KBA05_MAXSEG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.232936994
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:37.498606image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.160069864
Coefficient of variation (CV)0.5195264657
Kurtosis10.79783288
Mean2.232936994
Median Absolute Deviation (MAD)1
Skewness2.298905638
Sum76621
Variance1.34576209
MonotonicityNot monotonic
2021-05-29T15:48:37.588550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
214241
33.1%
18786
20.5%
37710
17.9%
43194
 
7.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
18786
20.5%
214241
33.1%
37710
17.9%
43194
 
7.4%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
43194
 
7.4%
37710
17.9%
214241
33.1%
18786
20.5%

KBA05_MAXVORB
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.024421519
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:37.672335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.034191429
Coefficient of variation (CV)0.5108577535
Kurtosis20.56987128
Mean2.024421519
Median Absolute Deviation (MAD)1
Skewness3.34201843
Sum69466
Variance1.069551912
MonotonicityNot monotonic
2021-05-29T15:48:37.762991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
215978
37.2%
19898
23.0%
38055
18.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
19898
23.0%
215978
37.2%
38055
18.7%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
38055
18.7%
215978
37.2%
19898
23.0%

KBA05_MOD1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.446231859
Minimum0
Maximum9
Zeros11398
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:37.851194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.469448114
Coefficient of variation (CV)1.016052928
Kurtosis5.841506039
Mean1.446231859
Median Absolute Deviation (MAD)1
Skewness1.682487668
Sum49626
Variance2.15927776
MonotonicityNot monotonic
2021-05-29T15:48:37.938596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
011398
26.5%
28755
20.4%
17412
17.3%
34207
 
9.8%
42159
 
5.0%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
011398
26.5%
17412
17.3%
28755
20.4%
34207
 
9.8%
42159
 
5.0%
ValueCountFrequency (%)
9383
 
0.9%
42159
 
5.0%
34207
9.8%
28755
20.4%
17412
17.3%

KBA05_MOD2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.066241184
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:38.030289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.181370091
Coefficient of variation (CV)0.3852828333
Kurtosis5.5058198
Mean3.066241184
Median Absolute Deviation (MAD)1
Skewness1.277101221
Sum105215
Variance1.395635292
MonotonicityNot monotonic
2021-05-29T15:48:38.139791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314227
33.1%
47570
17.6%
27285
17.0%
12502
 
5.8%
52347
 
5.5%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12502
 
5.8%
27285
17.0%
314227
33.1%
47570
17.6%
52347
 
5.5%
ValueCountFrequency (%)
9383
 
0.9%
52347
 
5.5%
47570
17.6%
314227
33.1%
27285
17.0%

KBA05_MOD3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.076382818
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:38.241025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.202863338
Coefficient of variation (CV)0.3909992382
Kurtosis4.930894176
Mean3.076382818
Median Absolute Deviation (MAD)1
Skewness1.20675574
Sum105563
Variance1.44688021
MonotonicityNot monotonic
2021-05-29T15:48:38.348657image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313109
30.5%
47966
18.5%
27777
18.1%
52573
 
6.0%
12506
 
5.8%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12506
 
5.8%
27777
18.1%
313109
30.5%
47966
18.5%
52573
 
6.0%
ValueCountFrequency (%)
9383
 
0.9%
52573
 
6.0%
47966
18.5%
313109
30.5%
27777
18.1%

KBA05_MOD4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.781080608
Minimum0
Maximum9
Zeros1672
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:38.452078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45132989
Coefficient of variation (CV)0.5218582612
Kurtosis2.338874769
Mean2.781080608
Median Absolute Deviation (MAD)1
Skewness0.6805024773
Sum95430
Variance2.106358451
MonotonicityNot monotonic
2021-05-29T15:48:38.541436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
310713
24.9%
27707
17.9%
45993
13.9%
14693
10.9%
53153
 
7.3%
01672
 
3.9%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
01672
 
3.9%
14693
10.9%
27707
17.9%
310713
24.9%
45993
13.9%
ValueCountFrequency (%)
9383
 
0.9%
53153
 
7.3%
45993
13.9%
310713
24.9%
27707
17.9%

KBA05_MOD8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.368974762
Minimum0
Maximum9
Zeros8542
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:38.620851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.258427257
Coefficient of variation (CV)0.9192479594
Kurtosis12.78645045
Mean1.368974762
Median Absolute Deviation (MAD)1
Skewness2.446301079
Sum46975
Variance1.583639161
MonotonicityNot monotonic
2021-05-29T15:48:38.706958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111159
26.0%
210321
24.0%
08542
19.9%
33909
 
9.1%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
08542
19.9%
111159
26.0%
210321
24.0%
33909
 
9.1%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
33909
 
9.1%
210321
24.0%
111159
26.0%
08542
19.9%

KBA05_MODTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.917947989
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:38.788040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.198852574
Coefficient of variation (CV)0.4108546755
Kurtosis-0.689624471
Mean2.917947989
Median Absolute Deviation (MAD)1
Skewness-0.2299547074
Sum102668
Variance1.437247494
MonotonicityNot monotonic
2021-05-29T15:48:38.880523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312430
28.9%
410139
23.6%
16827
15.9%
23746
 
8.7%
51755
 
4.1%
6288
 
0.7%
(Missing)7777
18.1%
ValueCountFrequency (%)
16827
15.9%
23746
 
8.7%
312430
28.9%
410139
23.6%
51755
 
4.1%
ValueCountFrequency (%)
6288
 
0.7%
51755
 
4.1%
410139
23.6%
312430
28.9%
23746
 
8.7%

KBA05_MOTOR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.651920499
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:38.964349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.135971128
Coefficient of variation (CV)0.4283579121
Kurtosis8.860366319
Mean2.651920499
Median Absolute Deviation (MAD)1
Skewness1.736880028
Sum90998
Variance1.290430404
MonotonicityNot monotonic
2021-05-29T15:48:39.060850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313689
31.9%
210039
23.4%
45401
 
12.6%
14802
 
11.2%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
14802
 
11.2%
210039
23.4%
313689
31.9%
45401
 
12.6%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
45401
 
12.6%
313689
31.9%
210039
23.4%
14802
 
11.2%

KBA05_MOTRAD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.195255581
Minimum0
Maximum9
Zeros8023
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:39.150542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.196145263
Coefficient of variation (CV)1.000744344
Kurtosis16.2101777
Mean1.195255581
Median Absolute Deviation (MAD)0
Skewness3.018518769
Sum41014
Variance1.430763489
MonotonicityNot monotonic
2021-05-29T15:48:39.233783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
118109
42.2%
08023
18.7%
34112
 
9.6%
23723
 
8.7%
9347
 
0.8%
(Missing)8648
20.1%
ValueCountFrequency (%)
08023
18.7%
118109
42.2%
23723
 
8.7%
34112
 
9.6%
9347
 
0.8%
ValueCountFrequency (%)
9347
 
0.8%
34112
 
9.6%
23723
 
8.7%
118109
42.2%
08023
18.7%

KBA05_SEG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.166462668
Minimum0
Maximum9
Zeros10321
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:39.315957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.223336141
Coefficient of variation (CV)1.048757216
Kurtosis16.40272081
Mean1.166462668
Median Absolute Deviation (MAD)1
Skewness2.968055008
Sum40026
Variance1.496551314
MonotonicityNot monotonic
2021-05-29T15:48:39.397789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112891
30.0%
010321
24.0%
28469
19.7%
32250
 
5.2%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
010321
24.0%
112891
30.0%
28469
19.7%
32250
 
5.2%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
32250
 
5.2%
28469
19.7%
112891
30.0%
010321
24.0%

KBA05_SEG10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.001253133
Minimum0
Maximum9
Zeros3972
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:39.479566image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.325463855
Coefficient of variation (CV)0.6623169421
Kurtosis6.840764292
Mean2.001253133
Median Absolute Deviation (MAD)1
Skewness1.522291599
Sum68671
Variance1.756854432
MonotonicityNot monotonic
2021-05-29T15:48:39.565237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
212809
29.8%
17335
17.1%
36989
16.3%
03972
 
9.2%
42826
 
6.6%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
03972
 
9.2%
17335
17.1%
212809
29.8%
36989
16.3%
42826
 
6.6%
ValueCountFrequency (%)
9383
 
0.9%
42826
 
6.6%
36989
16.3%
212809
29.8%
17335
17.1%

KBA05_SEG2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.028618057
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:39.647264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.184516939
Coefficient of variation (CV)0.3911080622
Kurtosis5.61446224
Mean3.028618057
Median Absolute Deviation (MAD)1
Skewness1.28784234
Sum103924
Variance1.40308038
MonotonicityNot monotonic
2021-05-29T15:48:39.741483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314475
33.7%
27258
16.9%
47222
16.8%
12808
 
6.5%
52168
 
5.0%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12808
 
6.5%
27258
16.9%
314475
33.7%
47222
16.8%
52168
 
5.0%
ValueCountFrequency (%)
9383
 
0.9%
52168
 
5.0%
47222
16.8%
314475
33.7%
27258
16.9%

KBA05_SEG3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.053709856
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:39.828955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.208823446
Coefficient of variation (CV)0.3958540604
Kurtosis4.881259485
Mean3.053709856
Median Absolute Deviation (MAD)1
Skewness1.243400618
Sum104785
Variance1.461254123
MonotonicityNot monotonic
2021-05-29T15:48:39.919723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312879
30.0%
28382
19.5%
47537
17.5%
52664
 
6.2%
12469
 
5.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12469
 
5.7%
28382
19.5%
312879
30.0%
47537
17.5%
52664
 
6.2%
ValueCountFrequency (%)
9383
 
0.9%
52664
 
6.2%
47537
17.5%
312879
30.0%
28382
19.5%

KBA05_SEG4
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.082765052
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:40.003384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.166556021
Coefficient of variation (CV)0.3784122374
Kurtosis5.848310393
Mean3.082765052
Median Absolute Deviation (MAD)1
Skewness1.341649132
Sum105782
Variance1.360852949
MonotonicityNot monotonic
2021-05-29T15:48:40.106755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
315486
36.0%
46807
15.8%
26739
15.7%
52568
 
6.0%
12331
 
5.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12331
 
5.4%
26739
15.7%
315486
36.0%
46807
15.8%
52568
 
6.0%
ValueCountFrequency (%)
9383
 
0.9%
52568
 
6.0%
46807
15.8%
315486
36.0%
26739
15.7%

KBA05_SEG5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.585941598
Minimum0
Maximum9
Zeros7092
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:40.211173image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.390973669
Coefficient of variation (CV)0.8770648745
Kurtosis7.119229204
Mean1.585941598
Median Absolute Deviation (MAD)1
Skewness1.849411219
Sum54420
Variance1.934807747
MonotonicityNot monotonic
2021-05-29T15:48:40.312588image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
111597
27.0%
28674
20.2%
07092
16.5%
34244
 
9.9%
42324
 
5.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
07092
16.5%
111597
27.0%
28674
20.2%
34244
 
9.9%
42324
 
5.4%
ValueCountFrequency (%)
9383
 
0.9%
42324
 
5.4%
34244
 
9.9%
28674
20.2%
111597
27.0%

KBA05_SEG6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.2303433001
Minimum0
Maximum9
Zeros29474
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:40.408873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9904296296
Coefficient of variation (CV)4.299797863
Kurtosis65.66981381
Mean0.2303433001
Median Absolute Deviation (MAD)0
Skewness7.799092004
Sum7904
Variance0.9809508512
MonotonicityNot monotonic
2021-05-29T15:48:40.506470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
029474
68.6%
14457
 
10.4%
9383
 
0.9%
(Missing)8648
 
20.1%
ValueCountFrequency (%)
029474
68.6%
14457
 
10.4%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
14457
 
10.4%
029474
68.6%

KBA05_SEG7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.9753744827
Minimum0
Maximum9
Zeros15246
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:40.604661image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.273079894
Coefficient of variation (CV)1.305221653
Kurtosis15.28259537
Mean0.9753744827
Median Absolute Deviation (MAD)1
Skewness2.965054422
Sum33469
Variance1.620732417
MonotonicityNot monotonic
2021-05-29T15:48:40.702005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
015246
35.5%
19617
22.4%
26799
15.8%
32269
 
5.3%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
015246
35.5%
19617
22.4%
26799
15.8%
32269
 
5.3%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
32269
 
5.3%
26799
15.8%
19617
22.4%
015246
35.5%

KBA05_SEG8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.8608148278
Minimum0
Maximum9
Zeros17259
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:40.797411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.258170646
Coefficient of variation (CV)1.46160429
Kurtosis17.23364985
Mean0.8608148278
Median Absolute Deviation (MAD)0
Skewness3.254561687
Sum29538
Variance1.582993373
MonotonicityNot monotonic
2021-05-29T15:48:40.894697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
017259
40.2%
19149
21.3%
25627
 
13.1%
31896
 
4.4%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
017259
40.2%
19149
21.3%
25627
 
13.1%
31896
 
4.4%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
31896
 
4.4%
25627
 
13.1%
19149
21.3%
017259
40.2%

KBA05_SEG9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1.188523635
Minimum0
Maximum9
Zeros10318
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:40.990581image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.232997213
Coefficient of variation (CV)1.037419178
Kurtosis15.62087495
Mean1.188523635
Median Absolute Deviation (MAD)1
Skewness2.864972318
Sum40783
Variance1.520282127
MonotonicityNot monotonic
2021-05-29T15:48:41.086372image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112306
28.6%
010318
24.0%
28891
20.7%
32416
 
5.6%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
010318
24.0%
112306
28.6%
28891
20.7%
32416
 
5.6%
9383
 
0.9%
ValueCountFrequency (%)
9383
 
0.9%
32416
 
5.6%
28891
20.7%
112306
28.6%
010318
24.0%

KBA05_VORB0
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.142536574
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:41.163539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.24960115
Coefficient of variation (CV)0.397640925
Kurtosis3.771401199
Mean3.142536574
Median Absolute Deviation (MAD)1
Skewness0.9708559709
Sum107833
Variance1.561503034
MonotonicityNot monotonic
2021-05-29T15:48:41.252617image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311742
27.3%
48893
20.7%
27196
16.7%
53274
 
7.6%
12826
 
6.6%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12826
 
6.6%
27196
16.7%
311742
27.3%
48893
20.7%
53274
 
7.6%
ValueCountFrequency (%)
9383
 
0.9%
53274
 
7.6%
48893
20.7%
311742
27.3%
27196
16.7%

KBA05_VORB1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.066153756
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:41.335523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.190798015
Coefficient of variation (CV)0.3883686564
Kurtosis5.321383657
Mean3.066153756
Median Absolute Deviation (MAD)1
Skewness1.269399122
Sum105212
Variance1.417999912
MonotonicityNot monotonic
2021-05-29T15:48:41.426625image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314762
34.4%
27042
16.4%
46844
15.9%
52684
 
6.2%
12599
 
6.0%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12599
 
6.0%
27042
16.4%
314762
34.4%
46844
15.9%
52684
 
6.2%
ValueCountFrequency (%)
9383
 
0.9%
52684
 
6.2%
46844
15.9%
314762
34.4%
27042
16.4%

KBA05_VORB2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.526024363
Minimum0
Maximum9
Zeros2781
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:41.514397image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.450604629
Coefficient of variation (CV)0.5742639104
Kurtosis2.989646207
Mean2.526024363
Median Absolute Deviation (MAD)1
Skewness0.8214422007
Sum86678
Variance2.104253788
MonotonicityNot monotonic
2021-05-29T15:48:41.596902image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
310839
25.2%
28849
20.6%
14940
11.5%
44534
10.6%
02781
 
6.5%
51988
 
4.6%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
02781
 
6.5%
14940
11.5%
28849
20.6%
310839
25.2%
44534
10.6%
ValueCountFrequency (%)
9383
 
0.9%
51988
 
4.6%
44534
10.6%
310839
25.2%
28849
20.6%

KBA05_ZUL1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.920557207
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:41.675954image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180197785
Coefficient of variation (CV)0.4041002116
Kurtosis6.205794046
Mean2.920557207
Median Absolute Deviation (MAD)1
Skewness1.396424703
Sum100216
Variance1.392866813
MonotonicityNot monotonic
2021-05-29T15:48:41.768688image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314442
33.6%
28076
18.8%
46502
15.1%
13318
 
7.7%
51593
 
3.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
13318
 
7.7%
28076
18.8%
314442
33.6%
46502
15.1%
51593
 
3.7%
ValueCountFrequency (%)
9383
 
0.9%
51593
 
3.7%
46502
15.1%
314442
33.6%
28076
18.8%

KBA05_ZUL2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.109459696
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:41.853558image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.185905892
Coefficient of variation (CV)0.3813864814
Kurtosis5.191812642
Mean3.109459696
Median Absolute Deviation (MAD)1
Skewness1.248697912
Sum106698
Variance1.406372785
MonotonicityNot monotonic
2021-05-29T15:48:41.945257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313898
32.3%
47744
18.0%
27340
17.1%
52738
 
6.4%
12211
 
5.1%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
12211
 
5.1%
27340
17.1%
313898
32.3%
47744
18.0%
52738
 
6.4%
ValueCountFrequency (%)
9383
 
0.9%
52738
 
6.4%
47744
18.0%
313898
32.3%
27340
17.1%

KBA05_ZUL3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.857783995
Minimum0
Maximum9
Zeros2023
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:42.033068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.423313285
Coefficient of variation (CV)0.4980478886
Kurtosis2.605736653
Mean2.857783995
Median Absolute Deviation (MAD)1
Skewness0.5349743533
Sum98062
Variance2.025820706
MonotonicityNot monotonic
2021-05-29T15:48:42.118056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
310995
25.6%
47657
17.8%
27490
17.4%
13202
 
7.5%
52564
 
6.0%
02023
 
4.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
02023
 
4.7%
13202
 
7.5%
27490
17.4%
310995
25.6%
47657
17.8%
ValueCountFrequency (%)
9383
 
0.9%
52564
 
6.0%
47657
17.8%
310995
25.6%
27490
17.4%

KBA05_ZUL4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean2.342833829
Minimum0
Maximum9
Zeros3181
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:42.201542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.567759636
Coefficient of variation (CV)0.6691723575
Kurtosis2.004025628
Mean2.342833829
Median Absolute Deviation (MAD)1
Skewness0.9298431483
Sum80392
Variance2.457870278
MonotonicityNot monotonic
2021-05-29T15:48:42.287424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
28894
20.7%
18224
19.1%
36051
14.1%
45125
11.9%
03181
 
7.4%
52456
 
5.7%
9383
 
0.9%
(Missing)8648
20.1%
ValueCountFrequency (%)
03181
 
7.4%
18224
19.1%
28894
20.7%
36051
14.1%
45125
11.9%
ValueCountFrequency (%)
9383
 
0.9%
52456
 
5.7%
45125
11.9%
36051
14.1%
28894
20.7%

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.900314286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:42.370993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.063798158
Coefficient of variation (CV)0.3667872006
Kurtosis-0.3936613809
Mean2.900314286
Median Absolute Deviation (MAD)1
Skewness0.03494963749
Sum101511
Variance1.13166652
MonotonicityNot monotonic
2021-05-29T15:48:42.466764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314704
34.2%
27463
17.4%
46280
14.6%
13853
 
9.0%
52700
 
6.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
13853
 
9.0%
27463
17.4%
314704
34.2%
46280
14.6%
52700
 
6.3%
ValueCountFrequency (%)
52700
 
6.3%
46280
14.6%
314704
34.2%
27463
17.4%
13853
 
9.0%

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.001771429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:42.556940image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.100274002
Coefficient of variation (CV)0.3665415666
Kurtosis-0.5274508514
Mean3.001771429
Median Absolute Deviation (MAD)1
Skewness-0.009034826677
Sum105062
Variance1.210602879
MonotonicityNot monotonic
2021-05-29T15:48:42.656213image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313741
32.0%
47185
16.7%
27037
16.4%
13540
 
8.2%
53497
 
8.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
13540
 
8.2%
27037
16.4%
313741
32.0%
47185
16.7%
53497
 
8.1%
ValueCountFrequency (%)
53497
 
8.1%
47185
16.7%
313741
32.0%
27037
16.4%
13540
 
8.2%

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.899114286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:42.760767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065804974
Coefficient of variation (CV)0.367631238
Kurtosis-0.4368066109
Mean2.899114286
Median Absolute Deviation (MAD)1
Skewness0.08254813528
Sum101469
Variance1.135940242
MonotonicityNot monotonic
2021-05-29T15:48:42.871505image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314051
32.7%
28206
19.1%
46355
14.8%
13614
 
8.4%
52774
 
6.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
13614
 
8.4%
28206
19.1%
314051
32.7%
46355
14.8%
52774
 
6.5%
ValueCountFrequency (%)
52774
 
6.5%
46355
14.8%
314051
32.7%
28206
19.1%
13614
 
8.4%

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.150714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:42.975869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.092247684
Coefficient of variation (CV)0.3466666874
Kurtosis-0.5234357867
Mean3.150714286
Median Absolute Deviation (MAD)1
Skewness-0.06095169605
Sum110275
Variance1.193005004
MonotonicityNot monotonic
2021-05-29T15:48:43.089109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313661
31.8%
47948
18.5%
26321
14.7%
54447
 
10.4%
12623
 
6.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
12623
 
6.1%
26321
14.7%
313661
31.8%
47948
18.5%
54447
 
10.4%
ValueCountFrequency (%)
54447
 
10.4%
47948
18.5%
313661
31.8%
26321
14.7%
12623
 
6.1%

KBA13_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.274971429
Minimum0
Maximum4
Zeros340
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:43.193010image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9261060205
Coefficient of variation (CV)0.407084682
Kurtosis-0.6638896824
Mean2.274971429
Median Absolute Deviation (MAD)1
Skewness0.05605905125
Sum79624
Variance0.8576723613
MonotonicityNot monotonic
2021-05-29T15:48:43.301858image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
213088
30.5%
311072
25.8%
17256
16.9%
43244
 
7.6%
0340
 
0.8%
(Missing)7962
18.5%
ValueCountFrequency (%)
0340
 
0.8%
17256
16.9%
213088
30.5%
311072
25.8%
43244
 
7.6%
ValueCountFrequency (%)
43244
 
7.6%
311072
25.8%
213088
30.5%
17256
16.9%
0340
 
0.8%

KBA13_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.694314286
Minimum0
Maximum4
Zeros489
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:43.419909image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9260257026
Coefficient of variation (CV)0.3436962449
Kurtosis-0.1671938302
Mean2.694314286
Median Absolute Deviation (MAD)1
Skewness-0.4336013116
Sum94301
Variance0.8575236019
MonotonicityNot monotonic
2021-05-29T15:48:43.532507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314698
34.2%
29988
23.2%
46802
15.8%
13023
 
7.0%
0489
 
1.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
0489
 
1.1%
13023
 
7.0%
29988
23.2%
314698
34.2%
46802
15.8%
ValueCountFrequency (%)
46802
15.8%
314698
34.2%
29988
23.2%
13023
 
7.0%
0489
 
1.1%

KBA13_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.479028571
Minimum0
Maximum3
Zeros7120
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:43.634619image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.020079094
Coefficient of variation (CV)0.6896953269
Kurtosis-1.116398899
Mean1.479028571
Median Absolute Deviation (MAD)1
Skewness0.02460643738
Sum51766
Variance1.040561358
MonotonicityNot monotonic
2021-05-29T15:48:43.725549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110716
24.9%
210442
24.3%
07120
16.6%
36722
15.6%
(Missing)7962
18.5%
ValueCountFrequency (%)
07120
16.6%
110716
24.9%
210442
24.3%
36722
15.6%
ValueCountFrequency (%)
36722
15.6%
210442
24.3%
110716
24.9%
07120
16.6%

KBA13_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean0.6010571429
Minimum0
Maximum2
Zeros18785
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:43.806243image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7178753619
Coefficient of variation (CV)1.194354597
Kurtosis-0.718153456
Mean0.6010571429
Median Absolute Deviation (MAD)0
Skewness0.7604663979
Sum21037
Variance0.5153450352
MonotonicityNot monotonic
2021-05-29T15:48:43.897932image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
018785
43.7%
111393
26.5%
24822
 
11.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
018785
43.7%
111393
26.5%
24822
 
11.2%
ValueCountFrequency (%)
24822
 
11.2%
111393
26.5%
018785
43.7%

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

MISSING

Distinct1230
Distinct (%)3.5%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean620.8817143
Minimum0
Maximum2300
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:44.010008image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile206
Q1389
median549
Q3773
95-th percentile1300
Maximum2300
Range2300
Interquartile range (IQR)384

Descriptive statistics

Standard deviation338.5713782
Coefficient of variation (CV)0.5453073756
Kurtosis2.203107266
Mean620.8817143
Median Absolute Deviation (MAD)183.5
Skewness1.31044492
Sum21730860
Variance114630.5781
MonotonicityNot monotonic
2021-05-29T15:48:44.134969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1400494
 
1.1%
1500382
 
0.9%
1300295
 
0.7%
1600282
 
0.7%
1700154
 
0.4%
1800135
 
0.3%
190088
 
0.2%
51785
 
0.2%
53482
 
0.2%
37778
 
0.2%
Other values (1220)32925
76.6%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
04
< 0.1%
21
 
< 0.1%
41
 
< 0.1%
151
 
< 0.1%
252
< 0.1%
ValueCountFrequency (%)
230025
 
0.1%
220015
 
< 0.1%
210024
 
0.1%
200053
0.1%
190088
0.2%

KBA13_AUDI
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.104914286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:44.229343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0125185
Coefficient of variation (CV)0.3261019167
Kurtosis-0.2783339514
Mean3.104914286
Median Absolute Deviation (MAD)1
Skewness-0.02360802934
Sum108672
Variance1.025193712
MonotonicityNot monotonic
2021-05-29T15:48:44.325157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315198
35.4%
47859
18.3%
26455
15.0%
53311
 
7.7%
12177
 
5.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
12177
 
5.1%
26455
15.0%
315198
35.4%
47859
18.3%
53311
 
7.7%
ValueCountFrequency (%)
53311
 
7.7%
47859
18.3%
315198
35.4%
26455
15.0%
12177
 
5.1%

KBA13_AUTOQUOTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.913028571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:44.414815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.046140572
Coefficient of variation (CV)0.3591247207
Kurtosis-0.3779847982
Mean2.913028571
Median Absolute Deviation (MAD)1
Skewness0.04030348728
Sum101956
Variance1.094410097
MonotonicityNot monotonic
2021-05-29T15:48:44.510731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314561
33.9%
27827
18.2%
46569
15.3%
13468
 
8.1%
52575
 
6.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
13468
 
8.1%
27827
18.2%
314561
33.9%
46569
15.3%
52575
 
6.0%
ValueCountFrequency (%)
52575
 
6.0%
46569
15.3%
314561
33.9%
27827
18.2%
13468
 
8.1%

KBA13_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.8578
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:44.600516image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.42125991
Coefficient of variation (CV)0.765023097
Kurtosis0.2477721446
Mean1.8578
Median Absolute Deviation (MAD)0
Skewness1.363037581
Sum65023
Variance2.019979731
MonotonicityNot monotonic
2021-05-29T15:48:44.691828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
123735
55.2%
54155
 
9.7%
22808
 
6.5%
32311
 
5.4%
41991
 
4.6%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
123735
55.2%
22808
 
6.5%
32311
 
5.4%
41991
 
4.6%
54155
 
9.7%
ValueCountFrequency (%)
54155
 
9.7%
41991
 
4.6%
32311
 
5.4%
22808
 
6.5%
123735
55.2%

KBA13_BJ_1999
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.902085714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:44.788760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9653182981
Coefficient of variation (CV)0.3326291478
Kurtosis-0.1566269553
Mean2.902085714
Median Absolute Deviation (MAD)1
Skewness0.04402153997
Sum101573
Variance0.9318394166
MonotonicityNot monotonic
2021-05-29T15:48:44.900323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315749
36.7%
28256
19.2%
46429
15.0%
12683
 
6.2%
51883
 
4.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12683
 
6.2%
28256
19.2%
315749
36.7%
46429
15.0%
51883
 
4.4%
ValueCountFrequency (%)
51883
 
4.4%
46429
15.0%
315749
36.7%
28256
19.2%
12683
 
6.2%

KBA13_BJ_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.841171429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:45.004589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9802482609
Coefficient of variation (CV)0.3450155281
Kurtosis-0.1941031164
Mean2.841171429
Median Absolute Deviation (MAD)1
Skewness0.04488186942
Sum99441
Variance0.9608866531
MonotonicityNot monotonic
2021-05-29T15:48:45.117724image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315568
36.2%
28461
19.7%
45944
 
13.8%
13274
 
7.6%
51753
 
4.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
13274
 
7.6%
28461
19.7%
315568
36.2%
45944
 
13.8%
51753
 
4.1%
ValueCountFrequency (%)
51753
 
4.1%
45944
 
13.8%
315568
36.2%
28461
19.7%
13274
 
7.6%

KBA13_BJ_2004
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.040314286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:45.222461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9547629192
Coefficient of variation (CV)0.3140342838
Kurtosis-0.1114768658
Mean3.040314286
Median Absolute Deviation (MAD)1
Skewness0.01589447319
Sum106411
Variance0.9115722319
MonotonicityNot monotonic
2021-05-29T15:48:45.321907image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316146
37.6%
47459
17.4%
27026
16.4%
52429
 
5.7%
11940
 
4.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
11940
 
4.5%
27026
16.4%
316146
37.6%
47459
17.4%
52429
 
5.7%
ValueCountFrequency (%)
52429
 
5.7%
47459
17.4%
316146
37.6%
27026
16.4%
11940
 
4.5%

KBA13_BJ_2006
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.080914286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:45.417461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9521368045
Coefficient of variation (CV)0.3090435878
Kurtosis-0.1264216365
Mean3.080914286
Median Absolute Deviation (MAD)1
Skewness-0.01385350498
Sum107832
Variance0.9065644945
MonotonicityNot monotonic
2021-05-29T15:48:45.514172image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315993
37.2%
48016
18.7%
26674
15.5%
52531
 
5.9%
11786
 
4.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
11786
 
4.2%
26674
15.5%
315993
37.2%
48016
18.7%
52531
 
5.9%
ValueCountFrequency (%)
52531
 
5.9%
48016
18.7%
315993
37.2%
26674
15.5%
11786
 
4.2%

KBA13_BJ_2008
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.5298
Minimum0
Maximum5
Zeros5588
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:45.600524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.480473963
Coefficient of variation (CV)0.5852138362
Kurtosis-0.6424726231
Mean2.5298
Median Absolute Deviation (MAD)1
Skewness-0.2665339188
Sum88543
Variance2.191803154
MonotonicityNot monotonic
2021-05-29T15:48:45.694200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312748
29.7%
26672
15.5%
05588
13.0%
44161
 
9.7%
53620
 
8.4%
12211
 
5.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
05588
13.0%
12211
 
5.1%
26672
15.5%
312748
29.7%
44161
 
9.7%
ValueCountFrequency (%)
53620
 
8.4%
44161
 
9.7%
312748
29.7%
26672
15.5%
12211
 
5.1%

KBA13_BJ_2009
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.561742857
Minimum0
Maximum5
Zeros4183
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:45.775827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460417812
Coefficient of variation (CV)0.5700875902
Kurtosis-0.7233699208
Mean2.561742857
Median Absolute Deviation (MAD)1
Skewness-0.1866605002
Sum89661
Variance2.132820186
MonotonicityNot monotonic
2021-05-29T15:48:45.868661image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312814
29.8%
25159
12.0%
14762
 
11.1%
44271
 
9.9%
04183
 
9.7%
53811
 
8.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
04183
 
9.7%
14762
 
11.1%
25159
12.0%
312814
29.8%
44271
 
9.9%
ValueCountFrequency (%)
53811
 
8.9%
44271
 
9.9%
312814
29.8%
25159
12.0%
14762
 
11.1%

KBA13_BMW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.194
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:46.550818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.015223701
Coefficient of variation (CV)0.3178533815
Kurtosis-0.3417770089
Mean3.194
Median Absolute Deviation (MAD)1
Skewness-0.02129675617
Sum111790
Variance1.030679162
MonotonicityNot monotonic
2021-05-29T15:48:46.647411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314866
34.6%
48306
19.3%
26076
14.1%
54016
 
9.3%
11736
 
4.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
11736
 
4.0%
26076
14.1%
314866
34.6%
48306
19.3%
54016
 
9.3%
ValueCountFrequency (%)
54016
 
9.3%
48306
19.3%
314866
34.6%
26076
14.1%
11736
 
4.0%

KBA13_CCM_0_1400
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.238342857
Minimum0
Maximum5
Zeros6654
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:46.729936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.438429828
Coefficient of variation (CV)0.6426315895
Kurtosis-0.7262770607
Mean2.238342857
Median Absolute Deviation (MAD)1
Skewness-0.09732439064
Sum78342
Variance2.06908037
MonotonicityNot monotonic
2021-05-29T15:48:46.817291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311406
26.5%
28383
19.5%
06654
15.5%
43259
 
7.6%
13042
 
7.1%
52256
 
5.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
06654
15.5%
13042
 
7.1%
28383
19.5%
311406
26.5%
43259
 
7.6%
ValueCountFrequency (%)
52256
 
5.3%
43259
 
7.6%
311406
26.5%
28383
19.5%
13042
 
7.1%

KBA13_CCM_1000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.348085714
Minimum0
Maximum5
Zeros4518
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:46.896414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.407228807
Coefficient of variation (CV)0.5993089598
Kurtosis-0.7095739012
Mean2.348085714
Median Absolute Deviation (MAD)1
Skewness-0.0579613174
Sum82183
Variance1.980292915
MonotonicityNot monotonic
2021-05-29T15:48:46.987798image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312626
29.4%
26007
14.0%
15915
13.8%
04518
 
10.5%
43294
 
7.7%
52640
 
6.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
04518
 
10.5%
15915
13.8%
26007
14.0%
312626
29.4%
43294
 
7.7%
ValueCountFrequency (%)
52640
 
6.1%
43294
 
7.7%
312626
29.4%
26007
14.0%
15915
13.8%

KBA13_CCM_1200
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.260942857
Minimum0
Maximum5
Zeros6800
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:47.068052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.457021735
Coefficient of variation (CV)0.6444310305
Kurtosis-0.7821499147
Mean2.260942857
Median Absolute Deviation (MAD)1
Skewness-0.1358785767
Sum79133
Variance2.122912337
MonotonicityNot monotonic
2021-05-29T15:48:47.160216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312036
28.0%
27389
17.2%
06800
15.8%
43424
 
8.0%
13051
 
7.1%
52300
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
06800
15.8%
13051
 
7.1%
27389
17.2%
312036
28.0%
43424
 
8.0%
ValueCountFrequency (%)
52300
 
5.4%
43424
 
8.0%
312036
28.0%
27389
17.2%
13051
 
7.1%

KBA13_CCM_1400
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.982228571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:47.244582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9564496995
Coefficient of variation (CV)0.3207164295
Kurtosis-0.1067780232
Mean2.982228571
Median Absolute Deviation (MAD)1
Skewness0.0446479153
Sum104378
Variance0.9147960276
MonotonicityNot monotonic
2021-05-29T15:48:47.341520image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316139
37.6%
27594
17.7%
46878
16.0%
52218
 
5.2%
12171
 
5.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
12171
 
5.1%
27594
17.7%
316139
37.6%
46878
16.0%
52218
 
5.2%
ValueCountFrequency (%)
52218
 
5.2%
46878
16.0%
316139
37.6%
27594
17.7%
12171
 
5.1%

KBA13_CCM_1401_2500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.975514286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:47.432168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9508330156
Coefficient of variation (CV)0.3195524956
Kurtosis-0.1342482016
Mean2.975514286
Median Absolute Deviation (MAD)1
Skewness-0.09340853488
Sum104143
Variance0.9040834236
MonotonicityNot monotonic
2021-05-29T15:48:47.529356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316012
37.3%
47666
17.8%
27097
16.5%
12469
 
5.7%
51756
 
4.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
12469
 
5.7%
27097
16.5%
316012
37.3%
47666
17.8%
51756
 
4.1%
ValueCountFrequency (%)
51756
 
4.1%
47666
17.8%
316012
37.3%
27097
16.5%
12469
 
5.7%

KBA13_CCM_1500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.629228571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:47.619881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.416207257
Coefficient of variation (CV)0.53863984
Kurtosis-1.439356501
Mean2.629228571
Median Absolute Deviation (MAD)1
Skewness0.09867064043
Sum92023
Variance2.005642995
MonotonicityNot monotonic
2021-05-29T15:48:47.714006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112620
29.4%
49074
21.1%
37174
16.7%
53107
 
7.2%
23025
 
7.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
112620
29.4%
23025
 
7.0%
37174
16.7%
49074
21.1%
53107
 
7.2%
ValueCountFrequency (%)
53107
 
7.2%
49074
21.1%
37174
16.7%
23025
 
7.0%
112620
29.4%

KBA13_CCM_1600
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.0326
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:47.802914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9524211329
Coefficient of variation (CV)0.3140609157
Kurtosis-0.1392026806
Mean3.0326
Median Absolute Deviation (MAD)1
Skewness0.069548996
Sum106141
Variance0.9071060145
MonotonicityNot monotonic
2021-05-29T15:48:47.899721image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315983
37.2%
27488
17.4%
47273
16.9%
52467
 
5.7%
11789
 
4.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
11789
 
4.2%
27488
17.4%
315983
37.2%
47273
16.9%
52467
 
5.7%
ValueCountFrequency (%)
52467
 
5.7%
47273
16.9%
315983
37.2%
27488
17.4%
11789
 
4.2%

KBA13_CCM_1800
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.3902
Minimum0
Maximum5
Zeros5981
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:47.985919image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.438035431
Coefficient of variation (CV)0.6016381186
Kurtosis-0.6317465486
Mean2.3902
Median Absolute Deviation (MAD)1
Skewness-0.2170560403
Sum83657
Variance2.067945901
MonotonicityNot monotonic
2021-05-29T15:48:48.079012image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312415
28.9%
27835
18.2%
05981
13.9%
43783
 
8.8%
52656
 
6.2%
12330
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
05981
13.9%
12330
 
5.4%
27835
18.2%
312415
28.9%
43783
 
8.8%
ValueCountFrequency (%)
52656
 
6.2%
43783
 
8.8%
312415
28.9%
27835
18.2%
12330
 
5.4%

KBA13_CCM_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.121857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:48.164941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9498598621
Coefficient of variation (CV)0.3042611557
Kurtosis-0.1704265907
Mean3.121857143
Median Absolute Deviation (MAD)1
Skewness0.04867643955
Sum109265
Variance0.9022337577
MonotonicityNot monotonic
2021-05-29T15:48:48.262518image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315914
37.0%
48040
18.7%
26709
15.6%
52902
 
6.8%
11435
 
3.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
11435
 
3.3%
26709
15.6%
315914
37.0%
48040
18.7%
52902
 
6.8%
ValueCountFrequency (%)
52902
 
6.8%
48040
18.7%
315914
37.0%
26709
15.6%
11435
 
3.3%

KBA13_CCM_2500
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.505171429
Minimum0
Maximum5
Zeros4153
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:48.349494image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.425814022
Coefficient of variation (CV)0.569148285
Kurtosis-0.6608483219
Mean2.505171429
Median Absolute Deviation (MAD)1
Skewness-0.1504066803
Sum87681
Variance2.032945626
MonotonicityNot monotonic
2021-05-29T15:48:48.456650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312608
29.3%
26177
14.4%
14695
 
10.9%
04153
 
9.7%
44027
 
9.4%
53340
 
7.8%
(Missing)7962
18.5%
ValueCountFrequency (%)
04153
 
9.7%
14695
 
10.9%
26177
14.4%
312608
29.3%
44027
 
9.4%
ValueCountFrequency (%)
53340
 
7.8%
44027
 
9.4%
312608
29.3%
26177
14.4%
14695
 
10.9%

KBA13_CCM_2501
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.532428571
Minimum0
Maximum5
Zeros3906
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:48.550664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.443718195
Coefficient of variation (CV)0.5700923655
Kurtosis-0.7309348543
Mean2.532428571
Median Absolute Deviation (MAD)1
Skewness-0.1429879731
Sum88635
Variance2.084322226
MonotonicityNot monotonic
2021-05-29T15:48:48.658772image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312818
29.8%
15433
12.6%
25124
 
11.9%
44095
 
9.5%
03906
 
9.1%
53624
 
8.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
03906
 
9.1%
15433
12.6%
25124
 
11.9%
312818
29.8%
44095
 
9.5%
ValueCountFrequency (%)
53624
 
8.4%
44095
 
9.5%
312818
29.8%
25124
 
11.9%
15433
12.6%

KBA13_CCM_3000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.593257143
Minimum0
Maximum5
Zeros2500
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:48.752167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.375910107
Coefficient of variation (CV)0.5305721845
Kurtosis-0.6676067917
Mean2.593257143
Median Absolute Deviation (MAD)1
Skewness-0.09617638692
Sum90764
Variance1.893128623
MonotonicityNot monotonic
2021-05-29T15:48:48.858857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
313324
31.0%
16540
15.2%
24938
 
11.5%
44114
 
9.6%
53584
 
8.3%
02500
 
5.8%
(Missing)7962
18.5%
ValueCountFrequency (%)
02500
 
5.8%
16540
15.2%
24938
 
11.5%
313324
31.0%
44114
 
9.6%
ValueCountFrequency (%)
53584
 
8.3%
44114
 
9.6%
313324
31.0%
24938
 
11.5%
16540
15.2%

KBA13_CCM_3001
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.613114286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:48.957074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.513373439
Coefficient of variation (CV)0.5791455229
Kurtosis-1.583052091
Mean2.613114286
Median Absolute Deviation (MAD)2
Skewness0.1043177759
Sum91459
Variance2.290299167
MonotonicityNot monotonic
2021-05-29T15:48:49.067089image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
115236
35.5%
49418
21.9%
36585
15.3%
53758
 
8.7%
23
 
< 0.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
115236
35.5%
23
 
< 0.1%
36585
15.3%
49418
21.9%
53758
 
8.7%
ValueCountFrequency (%)
53758
 
8.7%
49418
21.9%
36585
15.3%
23
 
< 0.1%
115236
35.5%

KBA13_FAB_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.950142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:49.170363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.033372663
Coefficient of variation (CV)0.3502788554
Kurtosis-0.3283458958
Mean2.950142857
Median Absolute Deviation (MAD)1
Skewness0.05073712197
Sum103255
Variance1.067859061
MonotonicityNot monotonic
2021-05-29T15:48:49.281469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314870
34.6%
27734
18.0%
46619
15.4%
13046
 
7.1%
52731
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
13046
 
7.1%
27734
18.0%
314870
34.6%
46619
15.4%
52731
 
6.4%
ValueCountFrequency (%)
52731
 
6.4%
46619
15.4%
314870
34.6%
27734
18.0%
13046
 
7.1%

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.982314286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:49.386424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.021358979
Coefficient of variation (CV)0.3424719466
Kurtosis-0.3015574961
Mean2.982314286
Median Absolute Deviation (MAD)1
Skewness0.03696423327
Sum104381
Variance1.043174163
MonotonicityNot monotonic
2021-05-29T15:48:49.478262image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315033
35.0%
27544
17.6%
46905
16.1%
52764
 
6.4%
12754
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12754
 
6.4%
27544
17.6%
315033
35.0%
46905
16.1%
52764
 
6.4%
ValueCountFrequency (%)
52764
 
6.4%
46905
16.1%
315033
35.0%
27544
17.6%
12754
 
6.4%

KBA13_FIAT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.0914
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:49.564749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.020247201
Coefficient of variation (CV)0.3300275607
Kurtosis-0.3333882526
Mean3.0914
Median Absolute Deviation (MAD)1
Skewness0.03871812825
Sum108199
Variance1.040904352
MonotonicityNot monotonic
2021-05-29T15:48:49.663565image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314963
34.8%
47461
17.4%
27014
16.3%
53469
 
8.1%
12093
 
4.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
12093
 
4.9%
27014
16.3%
314963
34.8%
47461
17.4%
53469
 
8.1%
ValueCountFrequency (%)
53469
 
8.1%
47461
17.4%
314963
34.8%
27014
16.3%
12093
 
4.9%

KBA13_FORD
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.931828571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:49.753739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.064095528
Coefficient of variation (CV)0.3629460258
Kurtosis-0.3979973466
Mean2.931828571
Median Absolute Deviation (MAD)1
Skewness0.08167181874
Sum102614
Variance1.132299293
MonotonicityNot monotonic
2021-05-29T15:48:49.849542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314489
33.7%
27854
18.3%
46230
14.5%
13404
 
7.9%
53023
 
7.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
13404
 
7.9%
27854
18.3%
314489
33.7%
46230
14.5%
53023
 
7.0%
ValueCountFrequency (%)
53023
 
7.0%
46230
14.5%
314489
33.7%
27854
18.3%
13404
 
7.9%

KBA13_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.459542857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:49.939428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.102360168
Coefficient of variation (CV)0.3186433044
Kurtosis-0.5878453432
Mean3.459542857
Median Absolute Deviation (MAD)1
Skewness-0.2289319351
Sum121084
Variance1.21519794
MonotonicityNot monotonic
2021-05-29T15:48:50.035081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
312693
29.5%
48724
20.3%
57537
17.5%
24378
 
10.2%
11668
 
3.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
11668
 
3.9%
24378
 
10.2%
312693
29.5%
48724
20.3%
57537
17.5%
ValueCountFrequency (%)
57537
17.5%
48724
20.3%
312693
29.5%
24378
 
10.2%
11668
 
3.9%

KBA13_HALTER_20
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.9078
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:50.124267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013741278
Coefficient of variation (CV)0.3486282682
Kurtosis-0.2987523673
Mean2.9078
Median Absolute Deviation (MAD)1
Skewness0.06053365915
Sum101773
Variance1.027671379
MonotonicityNot monotonic
2021-05-29T15:48:50.219395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314884
34.6%
28223
19.1%
46510
15.2%
13070
 
7.1%
52313
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
13070
 
7.1%
28223
19.1%
314884
34.6%
46510
15.2%
52313
 
5.4%
ValueCountFrequency (%)
52313
 
5.4%
46510
15.2%
314884
34.6%
28223
19.1%
13070
 
7.1%

KBA13_HALTER_25
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.887457143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:50.311078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.055527056
Coefficient of variation (CV)0.3655559213
Kurtosis-0.3822183886
Mean2.887457143
Median Absolute Deviation (MAD)1
Skewness0.05350973845
Sum101061
Variance1.114137366
MonotonicityNot monotonic
2021-05-29T15:48:50.407014image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314628
34.0%
27799
18.2%
46218
14.5%
13767
 
8.8%
52588
 
6.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
13767
 
8.8%
27799
18.2%
314628
34.0%
46218
14.5%
52588
 
6.0%
ValueCountFrequency (%)
52588
 
6.0%
46218
14.5%
314628
34.0%
27799
18.2%
13767
 
8.8%

KBA13_HALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.970142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:50.511312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.07052651
Coefficient of variation (CV)0.3604292997
Kurtosis-0.4193454718
Mean2.970142857
Median Absolute Deviation (MAD)1
Skewness0.02218698206
Sum103955
Variance1.146027009
MonotonicityNot monotonic
2021-05-29T15:48:50.622098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314503
33.8%
27231
16.8%
46718
15.6%
13407
 
7.9%
53141
 
7.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
13407
 
7.9%
27231
16.8%
314503
33.8%
46718
15.6%
53141
 
7.3%
ValueCountFrequency (%)
53141
 
7.3%
46718
15.6%
314503
33.8%
27231
16.8%
13407
 
7.9%

KBA13_HALTER_35
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.028942857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:50.726218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.087945173
Coefficient of variation (CV)0.3591831291
Kurtosis-0.4976550068
Mean3.028942857
Median Absolute Deviation (MAD)1
Skewness-0.0178133411
Sum106013
Variance1.1836247
MonotonicityNot monotonic
2021-05-29T15:48:50.836682image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313882
32.3%
47379
17.2%
26960
16.2%
53538
 
8.2%
13241
 
7.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
13241
 
7.5%
26960
16.2%
313882
32.3%
47379
17.2%
53538
 
8.2%
ValueCountFrequency (%)
53538
 
8.2%
47379
17.2%
313882
32.3%
26960
16.2%
13241
 
7.5%

KBA13_HALTER_40
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.021571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:50.940398image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.08261437
Coefficient of variation (CV)0.3582951441
Kurtosis-0.4685546533
Mean3.021571429
Median Absolute Deviation (MAD)1
Skewness0.001802021364
Sum105755
Variance1.172053875
MonotonicityNot monotonic
2021-05-29T15:48:51.051161image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314159
33.0%
47102
16.5%
27007
16.3%
53531
 
8.2%
13201
 
7.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
13201
 
7.5%
27007
16.3%
314159
33.0%
47102
16.5%
53531
 
8.2%
ValueCountFrequency (%)
53531
 
8.2%
47102
16.5%
314159
33.0%
27007
16.3%
13201
 
7.5%

KBA13_HALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.984857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:51.155538image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.089943147
Coefficient of variation (CV)0.3651575587
Kurtosis-0.49733019
Mean2.984857143
Median Absolute Deviation (MAD)1
Skewness0.02575192571
Sum104470
Variance1.187976065
MonotonicityNot monotonic
2021-05-29T15:48:51.266699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313916
32.4%
27358
17.1%
46892
16.0%
13433
 
8.0%
53401
 
7.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
13433
 
8.0%
27358
17.1%
313916
32.4%
46892
16.0%
53401
 
7.9%
ValueCountFrequency (%)
53401
 
7.9%
46892
16.0%
313916
32.4%
27358
17.1%
13433
 
8.0%

KBA13_HALTER_50
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.9036
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:51.370171image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.075757589
Coefficient of variation (CV)0.3704909729
Kurtosis-0.4517009097
Mean2.9036
Median Absolute Deviation (MAD)1
Skewness0.07575972473
Sum101626
Variance1.15725439
MonotonicityNot monotonic
2021-05-29T15:48:51.476946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314071
32.8%
27990
18.6%
46306
14.7%
13739
 
8.7%
52894
 
6.7%
(Missing)7962
18.5%
ValueCountFrequency (%)
13739
 
8.7%
27990
18.6%
314071
32.8%
46306
14.7%
52894
 
6.7%
ValueCountFrequency (%)
52894
 
6.7%
46306
14.7%
314071
32.8%
27990
18.6%
13739
 
8.7%

KBA13_HALTER_55
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.901085714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:51.562446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.075927724
Coefficient of variation (CV)0.3708707119
Kurtosis-0.4488370122
Mean2.901085714
Median Absolute Deviation (MAD)1
Skewness0.07590333698
Sum101538
Variance1.157620468
MonotonicityNot monotonic
2021-05-29T15:48:51.655607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314107
32.8%
27969
18.5%
46269
14.6%
13768
 
8.8%
52887
 
6.7%
(Missing)7962
18.5%
ValueCountFrequency (%)
13768
 
8.8%
27969
18.5%
314107
32.8%
46269
14.6%
52887
 
6.7%
ValueCountFrequency (%)
52887
 
6.7%
46269
14.6%
314107
32.8%
27969
18.5%
13768
 
8.8%

KBA13_HALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.971257143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:51.744282image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.06827265
Coefficient of variation (CV)0.3595355765
Kurtosis-0.4259868023
Mean2.971257143
Median Absolute Deviation (MAD)1
Skewness0.04928788586
Sum103994
Variance1.141206454
MonotonicityNot monotonic
2021-05-29T15:48:51.839159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314356
33.4%
27548
17.6%
46654
15.5%
13249
 
7.6%
53193
 
7.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
13249
 
7.6%
27548
17.6%
314356
33.4%
46654
15.5%
53193
 
7.4%
ValueCountFrequency (%)
53193
 
7.4%
46654
15.5%
314356
33.4%
27548
17.6%
13249
 
7.6%

KBA13_HALTER_65
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.150542857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:51.928728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.066033048
Coefficient of variation (CV)0.3383648777
Kurtosis-0.4559867838
Mean3.150542857
Median Absolute Deviation (MAD)1
Skewness-0.02838339118
Sum110269
Variance1.13642646
MonotonicityNot monotonic
2021-05-29T15:48:52.023795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314212
33.1%
47797
18.1%
26398
14.9%
54264
 
9.9%
12329
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12329
 
5.4%
26398
14.9%
314212
33.1%
47797
18.1%
54264
 
9.9%
ValueCountFrequency (%)
54264
 
9.9%
47797
18.1%
314212
33.1%
26398
14.9%
12329
 
5.4%

KBA13_HALTER_66
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.133485714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:52.113789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.09848677
Coefficient of variation (CV)0.3505638353
Kurtosis-0.5247769901
Mean3.133485714
Median Absolute Deviation (MAD)1
Skewness-0.06090870467
Sum109672
Variance1.206673183
MonotonicityNot monotonic
2021-05-29T15:48:52.208885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313717
31.9%
47799
18.2%
26293
14.6%
54387
 
10.2%
12804
 
6.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
12804
 
6.5%
26293
14.6%
313717
31.9%
47799
18.2%
54387
 
10.2%
ValueCountFrequency (%)
54387
 
10.2%
47799
18.2%
313717
31.9%
26293
14.6%
12804
 
6.5%

KBA13_HERST_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.965485714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:52.298596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062227243
Coefficient of variation (CV)0.3581967157
Kurtosis-0.3972262809
Mean2.965485714
Median Absolute Deviation (MAD)1
Skewness0.0518384444
Sum103792
Variance1.128326716
MonotonicityNot monotonic
2021-05-29T15:48:52.391464image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314572
33.9%
27516
17.5%
46544
15.2%
13243
 
7.5%
53125
 
7.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
13243
 
7.5%
27516
17.5%
314572
33.9%
46544
15.2%
53125
 
7.3%
ValueCountFrequency (%)
53125
 
7.3%
46544
15.2%
314572
33.9%
27516
17.5%
13243
 
7.5%

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.983571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:52.478266image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.022665976
Coefficient of variation (CV)0.3427657088
Kurtosis-0.2889879182
Mean2.983571429
Median Absolute Deviation (MAD)1
Skewness-0.001464359043
Sum104425
Variance1.045845698
MonotonicityNot monotonic
2021-05-29T15:48:52.585286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315193
35.4%
27176
16.7%
47029
16.4%
12908
 
6.8%
52694
 
6.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
12908
 
6.8%
27176
16.7%
315193
35.4%
47029
16.4%
52694
 
6.3%
ValueCountFrequency (%)
52694
 
6.3%
47029
16.4%
315193
35.4%
27176
16.7%
12908
 
6.8%

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.198085714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:52.689554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062648994
Coefficient of variation (CV)0.3322765833
Kurtosis-0.4369751931
Mean3.198085714
Median Absolute Deviation (MAD)1
Skewness-0.07260514846
Sum111933
Variance1.129222885
MonotonicityNot monotonic
2021-05-29T15:48:52.800941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314211
33.1%
48214
19.1%
25873
13.7%
54499
 
10.5%
12203
 
5.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
12203
 
5.1%
25873
13.7%
314211
33.1%
48214
19.1%
54499
 
10.5%
ValueCountFrequency (%)
54499
 
10.5%
48214
19.1%
314211
33.1%
25873
13.7%
12203
 
5.1%

KBA13_HERST_EUROPA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.0742
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:52.905624image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.027804303
Coefficient of variation (CV)0.3343322825
Kurtosis-0.3210464445
Mean3.0742
Median Absolute Deviation (MAD)1
Skewness0.01338664362
Sum107597
Variance1.056381685
MonotonicityNot monotonic
2021-05-29T15:48:53.016695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315043
35.0%
47383
17.2%
26838
15.9%
53381
 
7.9%
12355
 
5.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
12355
 
5.5%
26838
15.9%
315043
35.0%
47383
17.2%
53381
 
7.9%
ValueCountFrequency (%)
53381
 
7.9%
47383
17.2%
315043
35.0%
26838
15.9%
12355
 
5.5%

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.886542857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:53.103733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.06933364
Coefficient of variation (CV)0.3704547941
Kurtosis-0.421913971
Mean2.886542857
Median Absolute Deviation (MAD)1
Skewness0.07809584854
Sum101029
Variance1.143474433
MonotonicityNot monotonic
2021-05-29T15:48:53.195032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314299
33.3%
27981
18.6%
46130
14.3%
13825
 
8.9%
52765
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
13825
 
8.9%
27981
18.6%
314299
33.3%
46130
14.3%
52765
 
6.4%
ValueCountFrequency (%)
52765
 
6.4%
46130
14.3%
314299
33.3%
27981
18.6%
13825
 
8.9%

KBA13_HERST_SONST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.982314286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:53.281160image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.021358979
Coefficient of variation (CV)0.3424719466
Kurtosis-0.3015574961
Mean2.982314286
Median Absolute Deviation (MAD)1
Skewness0.03696423327
Sum104381
Variance1.043174163
MonotonicityNot monotonic
2021-05-29T15:48:53.375864image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315033
35.0%
27544
17.6%
46905
16.1%
52764
 
6.4%
12754
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12754
 
6.4%
27544
17.6%
315033
35.0%
46905
16.1%
52764
 
6.4%
ValueCountFrequency (%)
52764
 
6.4%
46905
16.1%
315033
35.0%
27544
17.6%
12754
 
6.4%

KBA13_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.4982
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:53.464069image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9665375729
Coefficient of variation (CV)0.2762956872
Kurtosis-0.4850503752
Mean3.4982
Median Absolute Deviation (MAD)1
Skewness0.001196455547
Sum122437
Variance0.9341948799
MonotonicityNot monotonic
2021-05-29T15:48:53.557103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315205
35.4%
49052
21.1%
56581
15.3%
23547
 
8.3%
1615
 
1.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
1615
 
1.4%
23547
 
8.3%
315205
35.4%
49052
21.1%
56581
15.3%
ValueCountFrequency (%)
56581
15.3%
49052
21.1%
315205
35.4%
23547
 
8.3%
1615
 
1.4%

KBA13_KMH_0_140
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.244
Minimum0
Maximum5
Zeros4632
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:53.642407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.523703774
Coefficient of variation (CV)0.679012377
Kurtosis-1.133511669
Mean2.244
Median Absolute Deviation (MAD)2
Skewness0.1097384947
Sum78540
Variance2.321673191
MonotonicityNot monotonic
2021-05-29T15:48:53.732550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312379
28.8%
110947
25.5%
04632
 
10.8%
43815
 
8.9%
52914
 
6.8%
2313
 
0.7%
(Missing)7962
18.5%
ValueCountFrequency (%)
04632
 
10.8%
110947
25.5%
2313
 
0.7%
312379
28.8%
43815
 
8.9%
ValueCountFrequency (%)
52914
 
6.8%
43815
 
8.9%
312379
28.8%
2313
 
0.7%
110947
25.5%

KBA13_KMH_110
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.313514286
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:53.814299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6628347584
Coefficient of variation (CV)0.5046269885
Kurtosis1.839764616
Mean1.313514286
Median Absolute Deviation (MAD)0
Skewness1.860720338
Sum45973
Variance0.4393499169
MonotonicityNot monotonic
2021-05-29T15:48:53.903827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
127949
65.1%
33922
 
9.1%
23129
 
7.3%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
127949
65.1%
23129
 
7.3%
33922
 
9.1%
ValueCountFrequency (%)
33922
 
9.1%
23129
 
7.3%
127949
65.1%

KBA13_KMH_140
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.628828571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:53.989558image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.378249527
Coefficient of variation (CV)0.5242827706
Kurtosis-1.350824235
Mean2.628828571
Median Absolute Deviation (MAD)1
Skewness0.126740864
Sum92009
Variance1.899571758
MonotonicityNot monotonic
2021-05-29T15:48:54.081769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111574
26.9%
48469
19.7%
37531
17.5%
24388
 
10.2%
53038
 
7.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
111574
26.9%
24388
 
10.2%
37531
17.5%
48469
19.7%
53038
 
7.1%
ValueCountFrequency (%)
53038
 
7.1%
48469
19.7%
37531
17.5%
24388
 
10.2%
111574
26.9%

KBA13_KMH_140_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.844371429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:54.168440image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9875549379
Coefficient of variation (CV)0.3471961952
Kurtosis-0.1907808435
Mean2.844371429
Median Absolute Deviation (MAD)1
Skewness0.01908451873
Sum99553
Variance0.9752647553
MonotonicityNot monotonic
2021-05-29T15:48:54.263988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315796
36.8%
28033
18.7%
45912
 
13.8%
13461
 
8.1%
51798
 
4.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
13461
 
8.1%
28033
18.7%
315796
36.8%
45912
 
13.8%
51798
 
4.2%
ValueCountFrequency (%)
51798
 
4.2%
45912
 
13.8%
315796
36.8%
28033
18.7%
13461
 
8.1%

KBA13_KMH_180
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.866714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:54.352765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9760587634
Coefficient of variation (CV)0.3404799593
Kurtosis-0.1899484765
Mean2.866714286
Median Absolute Deviation (MAD)1
Skewness0.003945527833
Sum100335
Variance0.9526907095
MonotonicityNot monotonic
2021-05-29T15:48:54.447596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315732
36.6%
28080
18.8%
46289
 
14.6%
13168
 
7.4%
51731
 
4.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
13168
 
7.4%
28080
18.8%
315732
36.6%
46289
 
14.6%
51731
 
4.0%
ValueCountFrequency (%)
51731
 
4.0%
46289
 
14.6%
315732
36.6%
28080
18.8%
13168
 
7.4%

KBA13_KMH_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.104828571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:54.535681image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9642660241
Coefficient of variation (CV)0.3105698115
Kurtosis-0.156153554
Mean3.104828571
Median Absolute Deviation (MAD)1
Skewness0.01416821725
Sum108669
Variance0.9298089652
MonotonicityNot monotonic
2021-05-29T15:48:54.642982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315936
37.1%
47881
18.3%
26562
15.3%
52898
 
6.7%
11723
 
4.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
11723
 
4.0%
26562
15.3%
315936
37.1%
47881
18.3%
52898
 
6.7%
ValueCountFrequency (%)
52898
 
6.7%
47881
18.3%
315936
37.1%
26562
15.3%
11723
 
4.0%

KBA13_KMH_211
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.496114286
Minimum0
Maximum5
Zeros5978
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:54.744572image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.501063668
Coefficient of variation (CV)0.6013601527
Kurtosis-0.7015445236
Mean2.496114286
Median Absolute Deviation (MAD)1
Skewness-0.2377341883
Sum87364
Variance2.253192135
MonotonicityNot monotonic
2021-05-29T15:48:54.852728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312409
28.9%
26816
15.9%
05978
13.9%
44020
 
9.4%
53662
 
8.5%
12115
 
4.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
05978
13.9%
12115
 
4.9%
26816
15.9%
312409
28.9%
44020
 
9.4%
ValueCountFrequency (%)
53662
 
8.5%
44020
 
9.4%
312409
28.9%
26816
15.9%
12115
 
4.9%

KBA13_KMH_250
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.4954
Minimum0
Maximum5
Zeros5985
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:54.947074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.500966472
Coefficient of variation (CV)0.6014933367
Kurtosis-0.7006080031
Mean2.4954
Median Absolute Deviation (MAD)1
Skewness-0.2373950975
Sum87339
Variance2.252900351
MonotonicityNot monotonic
2021-05-29T15:48:55.054923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312417
28.9%
26827
15.9%
05985
13.9%
44005
 
9.3%
53662
 
8.5%
12104
 
4.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
05985
13.9%
12104
 
4.9%
26827
15.9%
312417
28.9%
44005
 
9.3%
ValueCountFrequency (%)
53662
 
8.5%
44005
 
9.3%
312417
28.9%
26827
15.9%
12104
 
4.9%

KBA13_KMH_251
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.275571429
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:55.152649image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6798650242
Coefficient of variation (CV)0.5329885955
Kurtosis2.474542567
Mean1.275571429
Median Absolute Deviation (MAD)0
Skewness2.101245592
Sum44645
Variance0.4622164511
MonotonicityNot monotonic
2021-05-29T15:48:55.260932image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
129950
69.7%
34595
 
10.7%
2455
 
1.1%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
129950
69.7%
2455
 
1.1%
34595
 
10.7%
ValueCountFrequency (%)
34595
 
10.7%
2455
 
1.1%
129950
69.7%

KBA13_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.007028571
Minimum0
Maximum5
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:55.359529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04568999
Coefficient of variation (CV)0.3477486047
Kurtosis-0.3547459633
Mean3.007028571
Median Absolute Deviation (MAD)1
Skewness0.003674275742
Sum105246
Variance1.093467555
MonotonicityNot monotonic
2021-05-29T15:48:55.470090image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314796
34.4%
27099
16.5%
47089
16.5%
53073
 
7.2%
12939
 
6.8%
04
 
< 0.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
04
 
< 0.1%
12939
 
6.8%
27099
16.5%
314796
34.4%
47089
16.5%
ValueCountFrequency (%)
53073
 
7.2%
47089
16.5%
314796
34.4%
27099
16.5%
12939
 
6.8%

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.015542857
Minimum0
Maximum5
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:55.565373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.018634693
Coefficient of variation (CV)0.3377947988
Kurtosis-0.324204703
Mean3.015542857
Median Absolute Deviation (MAD)1
Skewness-0.03188613928
Sum105544
Variance1.037616637
MonotonicityNot monotonic
2021-05-29T15:48:55.664724image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314755
34.3%
47713
18.0%
27179
16.7%
52680
 
6.2%
12669
 
6.2%
04
 
< 0.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
04
 
< 0.1%
12669
 
6.2%
27179
16.7%
314755
34.3%
47713
18.0%
ValueCountFrequency (%)
52680
 
6.2%
47713
18.0%
314755
34.3%
27179
16.7%
12669
 
6.2%

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.124314286
Minimum0
Maximum5
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:55.743040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.03121526
Coefficient of variation (CV)0.3300613081
Kurtosis-0.3311796463
Mean3.124314286
Median Absolute Deviation (MAD)1
Skewness0.01494440526
Sum109351
Variance1.063404913
MonotonicityNot monotonic
2021-05-29T15:48:55.834787image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
315102
35.2%
47446
17.3%
26505
15.1%
53827
 
8.9%
12116
 
4.9%
04
 
< 0.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
04
 
< 0.1%
12116
 
4.9%
26505
15.1%
315102
35.2%
47446
17.3%
ValueCountFrequency (%)
53827
 
8.9%
47446
17.3%
315102
35.2%
26505
15.1%
12116
 
4.9%

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.972114286
Minimum0
Maximum5
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:55.915244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.05621831
Coefficient of variation (CV)0.3553760752
Kurtosis-0.3987383048
Mean2.972114286
Median Absolute Deviation (MAD)1
Skewness-0.01122440687
Sum104024
Variance1.115597118
MonotonicityNot monotonic
2021-05-29T15:48:56.009760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
314503
33.8%
27195
16.7%
47117
16.6%
13312
 
7.7%
52869
 
6.7%
04
 
< 0.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
04
 
< 0.1%
13312
 
7.7%
27195
16.7%
314503
33.8%
47117
16.6%
ValueCountFrequency (%)
52869
 
6.7%
47117
16.6%
314503
33.8%
27195
16.7%
13312
 
7.7%

KBA13_KRSSEG_KLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.987885714
Minimum0
Maximum3
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:56.093168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2895783831
Coefficient of variation (CV)0.1456715449
Kurtosis9.160450443
Mean1.987885714
Median Absolute Deviation (MAD)0
Skewness-0.4157051948
Sum69576
Variance0.08385563996
MonotonicityNot monotonic
2021-05-29T15:48:56.181284image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
232078
74.7%
11664
 
3.9%
31252
 
2.9%
06
 
< 0.1%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
06
 
< 0.1%
11664
 
3.9%
232078
74.7%
31252
 
2.9%
ValueCountFrequency (%)
31252
 
2.9%
232078
74.7%
11664
 
3.9%
06
 
< 0.1%

KBA13_KRSSEG_OBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.966657143
Minimum0
Maximum3
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:56.265375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5878394932
Coefficient of variation (CV)0.2989028847
Kurtosis-0.07426148019
Mean1.966657143
Median Absolute Deviation (MAD)0
Skewness-0.006463399643
Sum68833
Variance0.3455552697
MonotonicityNot monotonic
2021-05-29T15:48:56.350951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
222912
53.3%
16605
 
15.4%
35468
 
12.7%
015
 
< 0.1%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
015
 
< 0.1%
16605
 
15.4%
222912
53.3%
35468
 
12.7%
ValueCountFrequency (%)
35468
 
12.7%
222912
53.3%
16605
 
15.4%
015
 
< 0.1%

KBA13_KRSSEG_VAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.961771429
Minimum0
Maximum3
Zeros27
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:56.433154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6071765767
Coefficient of variation (CV)0.3095042408
Kurtosis-0.2328032194
Mean1.961771429
Median Absolute Deviation (MAD)0
Skewness-0.002332442143
Sum68662
Variance0.3686633953
MonotonicityNot monotonic
2021-05-29T15:48:56.518216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
222127
51.5%
17065
 
16.4%
35781
 
13.5%
027
 
0.1%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
027
 
0.1%
17065
 
16.4%
222127
51.5%
35781
 
13.5%
ValueCountFrequency (%)
35781
 
13.5%
222127
51.5%
17065
 
16.4%
027
 
0.1%

KBA13_KRSZUL_NEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.904771429
Minimum0
Maximum3
Zeros1009
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:56.600417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7677461002
Coefficient of variation (CV)0.4030646873
Kurtosis-0.4824741344
Mean1.904771429
Median Absolute Deviation (MAD)1
Skewness-0.2186718471
Sum66667
Variance0.5894340744
MonotonicityNot monotonic
2021-05-29T15:48:56.694000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
217080
39.8%
19113
21.2%
37798
18.2%
01009
 
2.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
01009
 
2.3%
19113
21.2%
217080
39.8%
37798
18.2%
ValueCountFrequency (%)
37798
18.2%
217080
39.8%
19113
21.2%
01009
 
2.3%

KBA13_KW_0_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.893971429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:56.782645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9698669808
Coefficient of variation (CV)0.3351335715
Kurtosis-0.1538477583
Mean2.893971429
Median Absolute Deviation (MAD)1
Skewness0.02250671059
Sum101289
Variance0.9406419604
MonotonicityNot monotonic
2021-05-29T15:48:56.880625image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315869
36.9%
28043
18.7%
46360
14.8%
12871
 
6.7%
51857
 
4.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
12871
 
6.7%
28043
18.7%
315869
36.9%
46360
14.8%
51857
 
4.3%
ValueCountFrequency (%)
51857
 
4.3%
46360
14.8%
315869
36.9%
28043
18.7%
12871
 
6.7%

KBA13_KW_110
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.470428571
Minimum0
Maximum5
Zeros5425
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:56.968062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.445124631
Coefficient of variation (CV)0.5849692023
Kurtosis-0.620242832
Mean2.470428571
Median Absolute Deviation (MAD)1
Skewness-0.2343454077
Sum86465
Variance2.088385199
MonotonicityNot monotonic
2021-05-29T15:48:57.062094image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312467
29.0%
27299
17.0%
05425
12.6%
44151
 
9.7%
53051
 
7.1%
12607
 
6.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
05425
12.6%
12607
 
6.1%
27299
17.0%
312467
29.0%
44151
 
9.7%
ValueCountFrequency (%)
53051
 
7.1%
44151
 
9.7%
312467
29.0%
27299
17.0%
12607
 
6.1%

KBA13_KW_120
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.390485714
Minimum0
Maximum5
Zeros3940
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:57.143948image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.522484339
Coefficient of variation (CV)0.6368933017
Kurtosis-1.105172237
Mean2.390485714
Median Absolute Deviation (MAD)1
Skewness0.0152637046
Sum83667
Variance2.317958563
MonotonicityNot monotonic
2021-05-29T15:48:57.249312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312282
28.6%
19856
22.9%
44399
 
10.2%
03940
 
9.2%
53441
 
8.0%
21082
 
2.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
03940
 
9.2%
19856
22.9%
21082
 
2.5%
312282
28.6%
44399
 
10.2%
ValueCountFrequency (%)
53441
 
8.0%
44399
 
10.2%
312282
28.6%
21082
 
2.5%
19856
22.9%

KBA13_KW_121
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.540857143
Minimum0
Maximum5
Zeros4018
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:57.344709image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.443504248
Coefficient of variation (CV)0.5681170435
Kurtosis-0.6973264975
Mean2.540857143
Median Absolute Deviation (MAD)1
Skewness-0.1477194459
Sum88930
Variance2.083704514
MonotonicityNot monotonic
2021-05-29T15:48:57.452741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312500
29.1%
25824
13.6%
14851
 
11.3%
44104
 
9.6%
04018
 
9.4%
53703
 
8.6%
(Missing)7962
18.5%
ValueCountFrequency (%)
04018
 
9.4%
14851
 
11.3%
25824
13.6%
312500
29.1%
44104
 
9.6%
ValueCountFrequency (%)
53703
 
8.6%
44104
 
9.6%
312500
29.1%
25824
13.6%
14851
 
11.3%

KBA13_KW_30
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.385028571
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:57.550789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6626309909
Coefficient of variation (CV)0.4784240589
Kurtosis0.7863864484
Mean1.385028571
Median Absolute Deviation (MAD)0
Skewness1.46996314
Sum48476
Variance0.43907983
MonotonicityNot monotonic
2021-05-29T15:48:57.657835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
125064
58.3%
26396
 
14.9%
33540
 
8.2%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
125064
58.3%
26396
 
14.9%
33540
 
8.2%
ValueCountFrequency (%)
33540
 
8.2%
26396
 
14.9%
125064
58.3%

KBA13_KW_40
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.3016
Minimum0
Maximum5
Zeros4534
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:57.755992image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.391753749
Coefficient of variation (CV)0.6046896718
Kurtosis-0.7141680072
Mean2.3016
Median Absolute Deviation (MAD)1
Skewness-0.02682376715
Sum80556
Variance1.936978497
MonotonicityNot monotonic
2021-05-29T15:48:57.864223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312064
28.1%
26474
15.1%
16212
14.5%
04534
 
10.6%
43376
 
7.9%
52340
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
04534
 
10.6%
16212
14.5%
26474
15.1%
312064
28.1%
43376
 
7.9%
ValueCountFrequency (%)
52340
 
5.4%
43376
 
7.9%
312064
28.1%
26474
15.1%
16212
14.5%

KBA13_KW_50
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.273028571
Minimum0
Maximum5
Zeros6649
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:57.958349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.43539939
Coefficient of variation (CV)0.631492014
Kurtosis-0.6861838019
Mean2.273028571
Median Absolute Deviation (MAD)1
Skewness-0.1459235187
Sum79556
Variance2.06037141
MonotonicityNot monotonic
2021-05-29T15:48:58.066458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311777
27.4%
28537
19.9%
06649
15.5%
43306
 
7.7%
12432
 
5.7%
52299
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
06649
15.5%
12432
 
5.7%
28537
19.9%
311777
27.4%
43306
 
7.7%
ValueCountFrequency (%)
52299
 
5.4%
43306
 
7.7%
311777
27.4%
28537
19.9%
12432
 
5.7%

KBA13_KW_60
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.257971429
Minimum0
Maximum5
Zeros6069
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:58.938384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.419072028
Coefficient of variation (CV)0.6284720923
Kurtosis-0.7035909971
Mean2.257971429
Median Absolute Deviation (MAD)1
Skewness-0.09672195701
Sum79029
Variance2.013765421
MonotonicityNot monotonic
2021-05-29T15:48:59.032555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311639
27.1%
28015
18.7%
06069
14.1%
13743
 
8.7%
43331
 
7.8%
52203
 
5.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
06069
14.1%
13743
 
8.7%
28015
18.7%
311639
27.1%
43331
 
7.8%
ValueCountFrequency (%)
52203
 
5.1%
43331
 
7.8%
311639
27.1%
28015
18.7%
13743
 
8.7%

KBA13_KW_61_120
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.073228571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:59.114791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9604796078
Coefficient of variation (CV)0.3125311331
Kurtosis-0.1212101814
Mean3.073228571
Median Absolute Deviation (MAD)1
Skewness-0.003154055208
Sum107563
Variance0.9225210769
MonotonicityNot monotonic
2021-05-29T15:48:59.208340image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316094
37.5%
47732
18.0%
26651
15.5%
52632
 
6.1%
11891
 
4.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
11891
 
4.4%
26651
15.5%
316094
37.5%
47732
18.0%
52632
 
6.1%
ValueCountFrequency (%)
52632
 
6.1%
47732
18.0%
316094
37.5%
26651
15.5%
11891
 
4.4%

KBA13_KW_70
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.330857143
Minimum0
Maximum5
Zeros6422
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:59.297160image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.444366005
Coefficient of variation (CV)0.6196716129
Kurtosis-0.6758502079
Mean2.330857143
Median Absolute Deviation (MAD)1
Skewness-0.1830933081
Sum81580
Variance2.086193157
MonotonicityNot monotonic
2021-05-29T15:48:59.389656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312135
28.2%
28088
18.8%
06422
14.9%
43540
 
8.2%
52506
 
5.8%
12309
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
06422
14.9%
12309
 
5.4%
28088
18.8%
312135
28.2%
43540
 
8.2%
ValueCountFrequency (%)
52506
 
5.8%
43540
 
8.2%
312135
28.2%
28088
18.8%
12309
 
5.4%

KBA13_KW_80
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.3382
Minimum0
Maximum5
Zeros5746
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:59.471131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.424437289
Coefficient of variation (CV)0.6092025013
Kurtosis-0.6604049256
Mean2.3382
Median Absolute Deviation (MAD)1
Skewness-0.1471241492
Sum81837
Variance2.029021589
MonotonicityNot monotonic
2021-05-29T15:48:59.564165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312064
28.1%
27826
18.2%
05746
13.4%
43551
 
8.3%
13319
 
7.7%
52494
 
5.8%
(Missing)7962
18.5%
ValueCountFrequency (%)
05746
13.4%
13319
 
7.7%
27826
18.2%
312064
28.1%
43551
 
8.3%
ValueCountFrequency (%)
52494
 
5.8%
43551
 
8.3%
312064
28.1%
27826
18.2%
13319
 
7.7%

KBA13_KW_90
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.416828571
Minimum0
Maximum5
Zeros5936
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:59.645773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.446730116
Coefficient of variation (CV)0.5986068408
Kurtosis-0.6278961874
Mean2.416828571
Median Absolute Deviation (MAD)1
Skewness-0.227839395
Sum84589
Variance2.093028029
MonotonicityNot monotonic
2021-05-29T15:48:59.738767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312574
29.3%
27611
17.7%
05936
13.8%
43798
 
8.8%
52843
 
6.6%
12238
 
5.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
05936
13.8%
12238
 
5.2%
27611
17.7%
312574
29.3%
43798
 
8.8%
ValueCountFrequency (%)
52843
 
6.6%
43798
 
8.8%
312574
29.3%
27611
17.7%
12238
 
5.2%

KBA13_MAZDA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.041771429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:48:59.824309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9986265915
Coefficient of variation (CV)0.3283042842
Kurtosis-0.2685258541
Mean3.041771429
Median Absolute Deviation (MAD)1
Skewness0.05547910151
Sum106462
Variance0.9972550693
MonotonicityNot monotonic
2021-05-29T15:48:59.920240image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315234
35.5%
27427
17.3%
47273
16.9%
52937
 
6.8%
12129
 
5.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
12129
 
5.0%
27427
17.3%
315234
35.5%
47273
16.9%
52937
 
6.8%
ValueCountFrequency (%)
52937
 
6.8%
47273
16.9%
315234
35.5%
27427
17.3%
12129
 
5.0%

KBA13_MERCEDES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.166342857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:00.012468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.063480578
Coefficient of variation (CV)0.3358703166
Kurtosis-0.4372742372
Mean3.166342857
Median Absolute Deviation (MAD)1
Skewness-0.05341429534
Sum110822
Variance1.130990939
MonotonicityNot monotonic
2021-05-29T15:49:00.108680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314266
33.2%
48001
18.6%
26127
14.3%
54290
 
10.0%
12316
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12316
 
5.4%
26127
14.3%
314266
33.2%
48001
18.6%
54290
 
10.0%
ValueCountFrequency (%)
54290
 
10.0%
48001
18.6%
314266
33.2%
26127
14.3%
12316
 
5.4%

KBA13_MOTOR
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.758485714
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:00.195438image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7831090601
Coefficient of variation (CV)0.2838909247
Kurtosis0.2174273117
Mean2.758485714
Median Absolute Deviation (MAD)0
Skewness-0.6496428644
Sum96547
Variance0.6132598001
MonotonicityNot monotonic
2021-05-29T15:49:00.286278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
320750
48.3%
26724
 
15.7%
44441
 
10.3%
13085
 
7.2%
(Missing)7962
 
18.5%
ValueCountFrequency (%)
13085
 
7.2%
26724
 
15.7%
320750
48.3%
44441
 
10.3%
ValueCountFrequency (%)
44441
 
10.3%
320750
48.3%
26724
 
15.7%
13085
 
7.2%

KBA13_NISSAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.988171429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:00.374470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.027843226
Coefficient of variation (CV)0.3439706359
Kurtosis-0.3441363256
Mean2.988171429
Median Absolute Deviation (MAD)1
Skewness0.07826197646
Sum104586
Variance1.056461698
MonotonicityNot monotonic
2021-05-29T15:49:00.469699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314682
34.2%
27935
18.5%
46829
15.9%
52950
 
6.9%
12604
 
6.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
12604
 
6.1%
27935
18.5%
314682
34.2%
46829
15.9%
52950
 
6.9%
ValueCountFrequency (%)
52950
 
6.9%
46829
15.9%
314682
34.2%
27935
18.5%
12604
 
6.1%

KBA13_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.910057143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:00.555267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.057598066
Coefficient of variation (CV)0.3634286249
Kurtosis-0.3926554168
Mean2.910057143
Median Absolute Deviation (MAD)1
Skewness0.06754725878
Sum101852
Variance1.118513669
MonotonicityNot monotonic
2021-05-29T15:49:00.647541image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314476
33.7%
27911
18.4%
46311
14.7%
13538
 
8.2%
52764
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
13538
 
8.2%
27911
18.4%
314476
33.7%
46311
14.7%
52764
 
6.4%
ValueCountFrequency (%)
52764
 
6.4%
46311
14.7%
314476
33.7%
27911
18.4%
13538
 
8.2%

KBA13_PEUGEOT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.087114286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:00.733416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01545795
Coefficient of variation (CV)0.3289343562
Kurtosis-0.2816306854
Mean3.087114286
Median Absolute Deviation (MAD)1
Skewness-0.02155379906
Sum108049
Variance1.031154849
MonotonicityNot monotonic
2021-05-29T15:49:00.831074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315187
35.3%
47738
18.0%
26561
15.3%
53225
 
7.5%
12289
 
5.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
12289
 
5.3%
26561
15.3%
315187
35.3%
47738
18.0%
53225
 
7.5%
ValueCountFrequency (%)
53225
 
7.5%
47738
18.0%
315187
35.3%
26561
15.3%
12289
 
5.3%

KBA13_RENAULT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.030285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:00.934335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.051407256
Coefficient of variation (CV)0.346966377
Kurtosis-0.3999717951
Mean3.030285714
Median Absolute Deviation (MAD)1
Skewness0.0263487237
Sum106060
Variance1.105457217
MonotonicityNot monotonic
2021-05-29T15:49:01.045045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314482
33.7%
27283
17.0%
47167
16.7%
53328
 
7.7%
12740
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12740
 
6.4%
27283
17.0%
314482
33.7%
47167
16.7%
53328
 
7.7%
ValueCountFrequency (%)
53328
 
7.7%
47167
16.7%
314482
33.7%
27283
17.0%
12740
 
6.4%

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.989285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:01.149016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009186385
Coefficient of variation (CV)0.3376011802
Kurtosis-0.248436528
Mean2.989285714
Median Absolute Deviation (MAD)1
Skewness0.01392186253
Sum104625
Variance1.01845716
MonotonicityNot monotonic
2021-05-29T15:49:01.261299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315410
35.9%
27261
16.9%
46976
16.2%
12699
 
6.3%
52654
 
6.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
12699
 
6.3%
27261
16.9%
315410
35.9%
46976
16.2%
52654
 
6.2%
ValueCountFrequency (%)
52654
 
6.2%
46976
16.2%
315410
35.9%
27261
16.9%
12699
 
6.3%

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.103171429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:01.366484image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036002224
Coefficient of variation (CV)0.3338527206
Kurtosis-0.3640327621
Mean3.103171429
Median Absolute Deviation (MAD)1
Skewness-0.002676885608
Sum108611
Variance1.073300608
MonotonicityNot monotonic
2021-05-29T15:49:01.476898image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314736
34.3%
47667
17.8%
26706
15.6%
53608
 
8.4%
12283
 
5.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
12283
 
5.3%
26706
15.6%
314736
34.3%
47667
17.8%
53608
 
8.4%
ValueCountFrequency (%)
53608
 
8.4%
47667
17.8%
314736
34.3%
26706
15.6%
12283
 
5.3%

KBA13_SEG_KLEINST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.940771429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:01.580507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.031161377
Coefficient of variation (CV)0.3506431566
Kurtosis-0.3138633653
Mean2.940771429
Median Absolute Deviation (MAD)1
Skewness0.03389759052
Sum102927
Variance1.063293785
MonotonicityNot monotonic
2021-05-29T15:49:01.691650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315018
35.0%
27594
17.7%
46603
15.4%
13163
 
7.4%
52622
 
6.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
13163
 
7.4%
27594
17.7%
315018
35.0%
46603
15.4%
52622
 
6.1%
ValueCountFrequency (%)
52622
 
6.1%
46603
15.4%
315018
35.0%
27594
17.7%
13163
 
7.4%

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.9282
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:01.795707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.032910361
Coefficient of variation (CV)0.3527458375
Kurtosis-0.3164924875
Mean2.9282
Median Absolute Deviation (MAD)1
Skewness0.03887010357
Sum102487
Variance1.066903814
MonotonicityNot monotonic
2021-05-29T15:49:01.905914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315005
34.9%
27659
17.8%
46494
15.1%
13258
 
7.6%
52584
 
6.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
13258
 
7.6%
27659
17.8%
315005
34.9%
46494
15.1%
52584
 
6.0%
ValueCountFrequency (%)
52584
 
6.0%
46494
15.1%
315005
34.9%
27659
17.8%
13258
 
7.6%

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.969085714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:01.992166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.029057956
Coefficient of variation (CV)0.346590855
Kurtosis-0.2855323597
Mean2.969085714
Median Absolute Deviation (MAD)1
Skewness0.065560979
Sum103918
Variance1.058960277
MonotonicityNot monotonic
2021-05-29T15:49:02.083148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315238
35.5%
27557
17.6%
46427
15.0%
52901
 
6.8%
12877
 
6.7%
(Missing)7962
18.5%
ValueCountFrequency (%)
12877
 
6.7%
27557
17.6%
315238
35.5%
46427
15.0%
52901
 
6.8%
ValueCountFrequency (%)
52901
 
6.8%
46427
15.0%
315238
35.5%
27557
17.6%
12877
 
6.7%

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.031628571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:02.169165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.004802707
Coefficient of variation (CV)0.331439912
Kurtosis-0.2443722499
Mean3.031628571
Median Absolute Deviation (MAD)1
Skewness0.02408236365
Sum106107
Variance1.00962848
MonotonicityNot monotonic
2021-05-29T15:49:02.261563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315442
35.9%
47180
16.7%
27107
16.5%
52894
 
6.7%
12377
 
5.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
12377
 
5.5%
27107
16.5%
315442
35.9%
47180
16.7%
52894
 
6.7%
ValueCountFrequency (%)
52894
 
6.7%
47180
16.7%
315442
35.9%
27107
16.5%
12377
 
5.5%

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.052342857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:02.349677image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.014370133
Coefficient of variation (CV)0.332325096
Kurtosis-0.302846658
Mean3.052342857
Median Absolute Deviation (MAD)1
Skewness0.02792554485
Sum106832
Variance1.028946767
MonotonicityNot monotonic
2021-05-29T15:49:02.440919image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315050
35.0%
47390
17.2%
27174
16.7%
53097
 
7.2%
12289
 
5.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
12289
 
5.3%
27174
16.7%
315050
35.0%
47390
17.2%
53097
 
7.2%
ValueCountFrequency (%)
53097
 
7.2%
47390
17.2%
315050
35.0%
27174
16.7%
12289
 
5.3%

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.066485714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:02.527701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.022620353
Coefficient of variation (CV)0.333482836
Kurtosis-0.3143259036
Mean3.066485714
Median Absolute Deviation (MAD)1
Skewness0.02347361744
Sum107327
Variance1.045752386
MonotonicityNot monotonic
2021-05-29T15:49:02.619679image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315054
35.0%
47358
17.1%
26985
16.3%
53290
 
7.7%
12313
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12313
 
5.4%
26985
16.3%
315054
35.0%
47358
17.1%
53290
 
7.7%
ValueCountFrequency (%)
53290
 
7.7%
47358
17.1%
315054
35.0%
26985
16.3%
12313
 
5.4%

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.1144
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:02.706780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.037924023
Coefficient of variation (CV)0.3332661259
Kurtosis-0.3562629347
Mean3.1144
Median Absolute Deviation (MAD)1
Skewness-0.02009616257
Sum109004
Variance1.077286277
MonotonicityNot monotonic
2021-05-29T15:49:02.798504image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314793
34.4%
47746
18.0%
26476
15.1%
53676
 
8.6%
12309
 
5.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
12309
 
5.4%
26476
15.1%
314793
34.4%
47746
18.0%
53676
 
8.6%
ValueCountFrequency (%)
53676
 
8.6%
47746
18.0%
314793
34.4%
26476
15.1%
12309
 
5.4%

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.477914286
Minimum0
Maximum5
Zeros3823
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:02.882633image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.480589843
Coefficient of variation (CV)0.5975145514
Kurtosis-0.8957732887
Mean2.477914286
Median Absolute Deviation (MAD)1
Skewness-0.04962140726
Sum86727
Variance2.192146283
MonotonicityNot monotonic
2021-05-29T15:49:02.972938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312375
28.8%
17239
16.8%
43950
 
9.2%
23834
 
8.9%
03823
 
8.9%
53779
 
8.8%
(Missing)7962
18.5%
ValueCountFrequency (%)
03823
 
8.9%
17239
16.8%
23834
 
8.9%
312375
28.8%
43950
 
9.2%
ValueCountFrequency (%)
53779
 
8.8%
43950
 
9.2%
312375
28.8%
23834
 
8.9%
17239
16.8%

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.044028571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:03.057509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9509702762
Coefficient of variation (CV)0.3124051742
Kurtosis-0.1414160127
Mean3.044028571
Median Absolute Deviation (MAD)1
Skewness0.09859089208
Sum106541
Variance0.9043444662
MonotonicityNot monotonic
2021-05-29T15:49:03.156154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316028
37.3%
27526
17.5%
47197
16.8%
52592
 
6.0%
11657
 
3.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
11657
 
3.9%
27526
17.5%
316028
37.3%
47197
16.8%
52592
 
6.0%
ValueCountFrequency (%)
52592
 
6.0%
47197
16.8%
316028
37.3%
27526
17.5%
11657
 
3.9%

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.574571429
Minimum0
Maximum5
Zeros3526
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:03.243684image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.44336365
Coefficient of variation (CV)0.5606228802
Kurtosis-0.7164490729
Mean2.574571429
Median Absolute Deviation (MAD)1
Skewness-0.09286666306
Sum90110
Variance2.083298625
MonotonicityNot monotonic
2021-05-29T15:49:03.336612image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311632
27.1%
26463
15.0%
15113
11.9%
44155
 
9.7%
54111
 
9.6%
03526
 
8.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
03526
 
8.2%
15113
11.9%
26463
15.0%
311632
27.1%
44155
 
9.7%
ValueCountFrequency (%)
54111
 
9.6%
44155
 
9.7%
311632
27.1%
26463
15.0%
15113
11.9%

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.011857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:03.422451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.002070477
Coefficient of variation (CV)0.3327085016
Kurtosis-0.242816463
Mean3.011857143
Median Absolute Deviation (MAD)1
Skewness0.02790916484
Sum105415
Variance1.004145241
MonotonicityNot monotonic
2021-05-29T15:49:03.520663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315406
35.9%
27300
17.0%
47109
16.5%
52744
 
6.4%
12441
 
5.7%
(Missing)7962
18.5%
ValueCountFrequency (%)
12441
 
5.7%
27300
17.0%
315406
35.9%
47109
16.5%
52744
 
6.4%
ValueCountFrequency (%)
52744
 
6.4%
47109
16.5%
315406
35.9%
27300
17.0%
12441
 
5.7%

KBA13_SEG_VAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.072942857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:03.611739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.012885593
Coefficient of variation (CV)0.3296141971
Kurtosis-0.2764340065
Mean3.072942857
Median Absolute Deviation (MAD)1
Skewness0.01116351185
Sum107553
Variance1.025937224
MonotonicityNot monotonic
2021-05-29T15:49:03.709718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315281
35.6%
47453
17.3%
26808
15.8%
53206
 
7.5%
12252
 
5.2%
(Missing)7962
18.5%
ValueCountFrequency (%)
12252
 
5.2%
26808
15.8%
315281
35.6%
47453
17.3%
53206
 
7.5%
ValueCountFrequency (%)
53206
 
7.5%
47453
17.3%
315281
35.6%
26808
15.8%
12252
 
5.2%

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.486457143
Minimum0
Maximum5
Zeros3870
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:03.796669image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.406348448
Coefficient of variation (CV)0.5656033333
Kurtosis-0.616022627
Mean2.486457143
Median Absolute Deviation (MAD)1
Skewness-0.07861841807
Sum87026
Variance1.977815957
MonotonicityNot monotonic
2021-05-29T15:49:03.890249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311748
27.3%
27469
17.4%
14722
11.0%
03870
 
9.0%
43833
 
8.9%
53358
 
7.8%
(Missing)7962
18.5%
ValueCountFrequency (%)
03870
 
9.0%
14722
11.0%
27469
17.4%
311748
27.3%
43833
 
8.9%
ValueCountFrequency (%)
53358
 
7.8%
43833
 
8.9%
311748
27.3%
27469
17.4%
14722
11.0%

KBA13_SITZE_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.138971429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:03.985746image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.081205834
Coefficient of variation (CV)0.3444458986
Kurtosis-0.4983697373
Mean3.138971429
Median Absolute Deviation (MAD)1
Skewness-0.04610907686
Sum109864
Variance1.169006056
MonotonicityNot monotonic
2021-05-29T15:49:04.096292image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313828
32.2%
47907
18.4%
26459
15.0%
54257
 
9.9%
12549
 
5.9%
(Missing)7962
18.5%
ValueCountFrequency (%)
12549
 
5.9%
26459
15.0%
313828
32.2%
47907
18.4%
54257
 
9.9%
ValueCountFrequency (%)
54257
 
9.9%
47907
18.4%
313828
32.2%
26459
15.0%
12549
 
5.9%

KBA13_SITZE_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.843057143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:04.200146image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.100598853
Coefficient of variation (CV)0.3871180906
Kurtosis-0.5471161074
Mean2.843057143
Median Absolute Deviation (MAD)1
Skewness0.09115509314
Sum99507
Variance1.211317834
MonotonicityNot monotonic
2021-05-29T15:49:04.309536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313322
31.0%
28264
19.2%
46221
14.5%
14459
 
10.4%
52734
 
6.4%
(Missing)7962
18.5%
ValueCountFrequency (%)
14459
 
10.4%
28264
19.2%
313322
31.0%
46221
14.5%
52734
 
6.4%
ValueCountFrequency (%)
52734
 
6.4%
46221
14.5%
313322
31.0%
28264
19.2%
14459
 
10.4%

KBA13_SITZE_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.102971429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:04.412722image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.074457277
Coefficient of variation (CV)0.3462672158
Kurtosis-0.4513199155
Mean3.102971429
Median Absolute Deviation (MAD)1
Skewness-0.05901431914
Sum108604
Variance1.154458441
MonotonicityNot monotonic
2021-05-29T15:49:04.523416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314129
32.9%
47861
18.3%
26375
14.8%
53847
 
9.0%
12788
 
6.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
12788
 
6.5%
26375
14.8%
314129
32.9%
47861
18.3%
53847
 
9.0%
ValueCountFrequency (%)
53847
 
9.0%
47861
18.3%
314129
32.9%
26375
14.8%
12788
 
6.5%

KBA13_TOYOTA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.080342857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:04.627349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.032350185
Coefficient of variation (CV)0.3351413244
Kurtosis-0.357755812
Mean3.080342857
Median Absolute Deviation (MAD)1
Skewness0.03135901925
Sum107812
Variance1.065746904
MonotonicityNot monotonic
2021-05-29T15:49:04.737509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314808
34.5%
47379
17.2%
27035
16.4%
53506
 
8.2%
12272
 
5.3%
(Missing)7962
18.5%
ValueCountFrequency (%)
12272
 
5.3%
27035
16.4%
314808
34.5%
47379
17.2%
53506
 
8.2%
ValueCountFrequency (%)
53506
 
8.2%
47379
17.2%
314808
34.5%
27035
16.4%
12272
 
5.3%

KBA13_VORB_0
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.236514286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:04.841912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9769791522
Coefficient of variation (CV)0.3018615294
Kurtosis-0.2610934992
Mean3.236514286
Median Absolute Deviation (MAD)1
Skewness0.0005470347358
Sum113278
Variance0.9544882637
MonotonicityNot monotonic
2021-05-29T15:49:04.954116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315461
36.0%
48620
20.1%
25644
 
13.1%
53963
 
9.2%
11312
 
3.1%
(Missing)7962
18.5%
ValueCountFrequency (%)
11312
 
3.1%
25644
 
13.1%
315461
36.0%
48620
20.1%
53963
 
9.2%
ValueCountFrequency (%)
53963
 
9.2%
48620
20.1%
315461
36.0%
25644
 
13.1%
11312
 
3.1%

KBA13_VORB_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.047428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:05.041220image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9577083627
Coefficient of variation (CV)0.3142676982
Kurtosis-0.1217178573
Mean3.047428571
Median Absolute Deviation (MAD)1
Skewness0.01010718229
Sum106660
Variance0.9172053079
MonotonicityNot monotonic
2021-05-29T15:49:05.136232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316083
37.4%
47541
17.6%
26955
16.2%
52479
 
5.8%
11942
 
4.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
11942
 
4.5%
26955
16.2%
316083
37.4%
47541
17.6%
52479
 
5.8%
ValueCountFrequency (%)
52479
 
5.8%
47541
17.6%
316083
37.4%
26955
16.2%
11942
 
4.5%

KBA13_VORB_1_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.925685714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:05.226041image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9796889934
Coefficient of variation (CV)0.3348579065
Kurtosis-0.1873345553
Mean2.925685714
Median Absolute Deviation (MAD)1
Skewness-0.01256867337
Sum102399
Variance0.9597905238
MonotonicityNot monotonic
2021-05-29T15:49:05.323085image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315747
36.7%
27619
17.7%
46790
15.8%
12865
 
6.7%
51979
 
4.6%
(Missing)7962
18.5%
ValueCountFrequency (%)
12865
 
6.7%
27619
17.7%
315747
36.7%
46790
15.8%
51979
 
4.6%
ValueCountFrequency (%)
51979
 
4.6%
46790
15.8%
315747
36.7%
27619
17.7%
12865
 
6.7%

KBA13_VORB_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.941285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:05.413311image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.949093446
Coefficient of variation (CV)0.3226797864
Kurtosis-0.1129413671
Mean2.941285714
Median Absolute Deviation (MAD)1
Skewness0.05438632145
Sum102945
Variance0.9007783692
MonotonicityNot monotonic
2021-05-29T15:49:05.510811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316004
37.3%
28104
18.9%
46675
15.5%
12265
 
5.3%
51952
 
4.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
12265
 
5.3%
28104
18.9%
316004
37.3%
46675
15.5%
51952
 
4.5%
ValueCountFrequency (%)
51952
 
4.5%
46675
15.5%
316004
37.3%
28104
18.9%
12265
 
5.3%

KBA13_VORB_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.152171429
Minimum0
Maximum5
Zeros7228
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:05.597850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.424655995
Coefficient of variation (CV)0.6619621355
Kurtosis-0.737749626
Mean2.152171429
Median Absolute Deviation (MAD)1
Skewness-0.07006311434
Sum75326
Variance2.029644703
MonotonicityNot monotonic
2021-05-29T15:49:05.689903image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
311138
25.9%
28902
20.7%
07228
16.8%
12914
 
6.8%
42896
 
6.7%
51922
 
4.5%
(Missing)7962
18.5%
ValueCountFrequency (%)
07228
16.8%
12914
 
6.8%
28902
20.7%
311138
25.9%
42896
 
6.7%
ValueCountFrequency (%)
51922
 
4.5%
42896
 
6.7%
311138
25.9%
28902
20.7%
12914
 
6.8%

KBA13_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7962
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.961571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:05.774118image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01573823
Coefficient of variation (CV)0.3429727272
Kurtosis-0.2517372098
Mean2.961571429
Median Absolute Deviation (MAD)1
Skewness0.00801281858
Sum103655
Variance1.031724151
MonotonicityNot monotonic
2021-05-29T15:49:05.871601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
315462
36.0%
27250
16.9%
46747
15.7%
12981
 
6.9%
52560
 
6.0%
(Missing)7962
18.5%
ValueCountFrequency (%)
12981
 
6.9%
27250
16.9%
315462
36.0%
46747
15.7%
52560
 
6.0%
ValueCountFrequency (%)
52560
 
6.0%
46747
15.7%
315462
36.0%
27250
16.9%
12981
 
6.9%

KK_KUNDENTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing25316
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean3.41533492
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:05.958879image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.650214621
Coefficient of variation (CV)0.483177978
Kurtosis-1.185048835
Mean3.41533492
Median Absolute Deviation (MAD)1
Skewness0.1064877933
Sum60267
Variance2.723208295
MonotonicityNot monotonic
2021-05-29T15:49:06.065020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
33618
 
8.4%
23280
 
7.6%
52832
 
6.6%
12697
 
6.3%
42659
 
6.2%
62560
 
6.0%
(Missing)25316
58.9%
ValueCountFrequency (%)
12697
6.3%
23280
7.6%
33618
8.4%
42659
6.2%
52832
6.6%
ValueCountFrequency (%)
62560
6.0%
52832
6.6%
42659
6.2%
33618
8.4%
23280
7.6%

KKK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8445
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean2.536489266
Minimum0
Maximum4
Zeros1485
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:06.164064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.108303814
Coefficient of variation (CV)0.436944019
Kurtosis-0.6016780892
Mean2.536489266
Median Absolute Deviation (MAD)1
Skewness-0.4226533238
Sum87552
Variance1.228337344
MonotonicityNot monotonic
2021-05-29T15:49:06.272710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
311890
27.7%
28690
20.2%
47350
17.1%
15102
11.9%
01485
 
3.5%
(Missing)8445
19.7%
ValueCountFrequency (%)
01485
 
3.5%
15102
11.9%
28690
20.2%
311890
27.7%
47350
17.1%
ValueCountFrequency (%)
47350
17.1%
311890
27.7%
28690
20.2%
15102
11.9%
01485
 
3.5%

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.576183604
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:06.372773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.040037959
Coefficient of variation (CV)0.4457946042
Kurtosis0.891358381
Mean4.576183604
Median Absolute Deviation (MAD)0
Skewness1.458843781
Sum196602
Variance4.161754872
MonotonicityNot monotonic
2021-05-29T15:49:06.481600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
427935
65.0%
97054
 
16.4%
35982
 
13.9%
21439
 
3.3%
1552
 
1.3%
ValueCountFrequency (%)
1552
 
1.3%
21439
 
3.3%
35982
 
13.9%
427935
65.0%
97054
 
16.4%
ValueCountFrequency (%)
97054
 
16.4%
427935
65.0%
35982
 
13.9%
21439
 
3.3%
1552
 
1.3%

KONSUMNAEHE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing6997
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean3.151258168
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:06.568797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.510438557
Coefficient of variation (CV)0.4793128575
Kurtosis-1.061247479
Mean3.151258168
Median Absolute Deviation (MAD)1
Skewness0.07749730677
Sum113335
Variance2.281424635
MonotonicityNot monotonic
2021-05-29T15:49:06.658316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
38088
18.8%
57390
17.2%
16912
16.1%
46206
14.4%
25997
14.0%
61213
 
2.8%
7159
 
0.4%
(Missing)6997
16.3%
ValueCountFrequency (%)
16912
16.1%
25997
14.0%
38088
18.8%
46206
14.4%
57390
17.2%
ValueCountFrequency (%)
7159
 
0.4%
61213
 
2.8%
57390
17.2%
46206
14.4%
38088
18.8%

KONSUMZELLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.1918146938
Minimum0
Maximum1
Zeros28436
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:06.743798image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3937336956
Coefficient of variation (CV)2.052677445
Kurtosis0.4509395356
Mean0.1918146938
Median Absolute Deviation (MAD)0
Skewness1.565539494
Sum6749
Variance0.1550262231
MonotonicityNot monotonic
2021-05-29T15:49:06.830353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
028436
66.2%
16749
 
15.7%
(Missing)7777
 
18.1%
ValueCountFrequency (%)
028436
66.2%
16749
 
15.7%
ValueCountFrequency (%)
16749
 
15.7%
028436
66.2%

LP_FAMILIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.109403404
Minimum0
Maximum11
Zeros8208
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:06.918586image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q310
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.392075301
Coefficient of variation (CV)1.068786602
Kurtosis-1.467511144
Mean4.109403404
Median Absolute Deviation (MAD)2
Skewness0.6328992055
Sum174062
Variance19.29032545
MonotonicityNot monotonic
2021-05-29T15:49:07.013163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
112228
28.5%
108577
20.0%
08208
19.1%
27093
16.5%
114303
 
10.0%
8600
 
1.4%
9590
 
1.4%
7377
 
0.9%
5171
 
0.4%
4119
 
0.3%
Other values (2)91
 
0.2%
(Missing)605
 
1.4%
ValueCountFrequency (%)
08208
19.1%
112228
28.5%
27093
16.5%
327
 
0.1%
4119
 
0.3%
ValueCountFrequency (%)
114303
10.0%
108577
20.0%
9590
 
1.4%
8600
 
1.4%
7377
 
0.9%

LP_FAMILIE_GROB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.33441934
Minimum0
Maximum5
Zeros8208
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:07.096654image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.979889627
Coefficient of variation (CV)0.8481293796
Kurtosis-1.508513307
Mean2.33441934
Median Absolute Deviation (MAD)2
Skewness0.3841764798
Sum98879
Variance3.919962934
MonotonicityNot monotonic
2021-05-29T15:49:07.191767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
513470
31.4%
112228
28.5%
08208
19.1%
27093
16.5%
41041
 
2.4%
3317
 
0.7%
(Missing)605
 
1.4%
ValueCountFrequency (%)
08208
19.1%
112228
28.5%
27093
16.5%
3317
 
0.7%
41041
 
2.4%
ValueCountFrequency (%)
513470
31.4%
41041
 
2.4%
3317
 
0.7%
27093
16.5%
112228
28.5%

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean17.66107137
Minimum0
Maximum40
Zeros8298
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:07.301236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15
Q332
95-th percentile40
Maximum40
Range40
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14.08570151
Coefficient of variation (CV)0.797556457
Kurtosis-1.364828806
Mean17.66107137
Median Absolute Deviation (MAD)15
Skewness0.2793471299
Sum748070
Variance198.406987
MonotonicityNot monotonic
2021-05-29T15:49:07.430471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
08298
19.3%
63067
 
7.1%
402468
 
5.7%
82416
 
5.6%
382076
 
4.8%
132061
 
4.8%
121920
 
4.5%
201854
 
4.3%
311666
 
3.9%
321633
 
3.8%
Other values (31)14898
34.7%
ValueCountFrequency (%)
08298
19.3%
1131
 
0.3%
2124
 
0.3%
375
 
0.2%
478
 
0.2%
ValueCountFrequency (%)
402468
5.7%
391255
2.9%
382076
4.8%
371191
2.8%
361440
3.4%

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.274995868
Minimum0
Maximum12
Zeros8273
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:07.531021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.470538304
Coefficient of variation (CV)0.8474960768
Kurtosis-1.36366669
Mean5.274995868
Median Absolute Deviation (MAD)4
Skewness0.4290829214
Sum223433
Variance19.98571272
MonotonicityNot monotonic
2021-05-29T15:49:07.636209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
128430
19.6%
08273
19.3%
26565
15.3%
35225
12.2%
54150
9.7%
103299
 
7.7%
42943
 
6.9%
111109
 
2.6%
8787
 
1.8%
9597
 
1.4%
Other values (3)979
 
2.3%
(Missing)605
 
1.4%
ValueCountFrequency (%)
08273
19.3%
1408
 
0.9%
26565
15.3%
35225
12.2%
42943
 
6.9%
ValueCountFrequency (%)
128430
19.6%
111109
 
2.6%
103299
 
7.7%
9597
 
1.4%
8787
 
1.8%

LP_STATUS_FEIN
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.92700144
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:07.730414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.39833627
Coefficient of variation (CV)0.5733651838
Kurtosis-1.491594681
Mean5.92700144
Median Absolute Deviation (MAD)4
Skewness-0.1591674838
Sum251050
Variance11.54868941
MonotonicityNot monotonic
2021-05-29T15:49:07.818117image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
109131
21.3%
98479
19.7%
18087
18.8%
56114
14.2%
34199
9.8%
42537
 
5.9%
61898
 
4.4%
71243
 
2.9%
2569
 
1.3%
8100
 
0.2%
(Missing)605
 
1.4%
ValueCountFrequency (%)
18087
18.8%
2569
 
1.3%
34199
9.8%
42537
 
5.9%
56114
14.2%
ValueCountFrequency (%)
109131
21.3%
98479
19.7%
8100
 
0.2%
71243
 
2.9%
61898
 
4.4%

LP_STATUS_GROB
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.921595014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:07.903998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.476326688
Coefficient of variation (CV)0.5053153094
Kurtosis-1.462862029
Mean2.921595014
Median Absolute Deviation (MAD)1
Skewness0.1560257459
Sum123750
Variance2.179540491
MonotonicityNot monotonic
2021-05-29T15:49:08.001391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
212850
29.9%
59131
21.3%
18656
20.1%
48579
20.0%
33141
 
7.3%
(Missing)605
 
1.4%
ValueCountFrequency (%)
18656
20.1%
212850
29.9%
33141
 
7.3%
48579
20.0%
59131
21.3%
ValueCountFrequency (%)
59131
21.3%
48579
20.0%
33141
 
7.3%
212850
29.9%
18656
20.1%

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1992.855848
Minimum1985
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:08.110790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile1997
Maximum2015
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.456724464
Coefficient of variation (CV)0.001232765765
Kurtosis22.94704159
Mean1992.855848
Median Absolute Deviation (MAD)0
Skewness4.204989958
Sum70118633
Variance6.035495093
MonotonicityNot monotonic
2021-05-29T15:49:08.238998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
199225840
60.1%
19943745
 
8.7%
19931270
 
3.0%
1995941
 
2.2%
1996668
 
1.6%
1997578
 
1.3%
1991325
 
0.8%
1990281
 
0.7%
2000251
 
0.6%
2001159
 
0.4%
Other values (21)1127
 
2.6%
(Missing)7777
 
18.1%
ValueCountFrequency (%)
19855
 
< 0.1%
19868
 
< 0.1%
198731
 
0.1%
198849
0.1%
1989116
0.3%
ValueCountFrequency (%)
20159
 
< 0.1%
201417
< 0.1%
201318
< 0.1%
201232
0.1%
201127
0.1%

MOBI_RASTER
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.691942589
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:08.344027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.600008222
Coefficient of variation (CV)0.5943693705
Kurtosis-1.089556315
Mean2.691942589
Median Absolute Deviation (MAD)2
Skewness0.4437766103
Sum94716
Variance2.560026311
MonotonicityNot monotonic
2021-05-29T15:49:08.452691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
112559
29.2%
36148
14.3%
45150
12.0%
25029
11.7%
54739
 
11.0%
61560
 
3.6%
(Missing)7777
18.1%
ValueCountFrequency (%)
112559
29.2%
25029
11.7%
36148
14.3%
45150
12.0%
54739
 
11.0%
ValueCountFrequency (%)
61560
 
3.6%
54739
11.0%
45150
12.0%
36148
14.3%
25029
11.7%

MOBI_REGIO
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing8648
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean3.328612228
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:08.546844image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.414178205
Coefficient of variation (CV)0.4248551972
Kurtosis-1.181409417
Mean3.328612228
Median Absolute Deviation (MAD)1
Skewness-0.3423400394
Sum114218
Variance1.999899995
MonotonicityNot monotonic
2021-05-29T15:49:08.651053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
59351
21.8%
48230
19.2%
36366
14.8%
15381
12.5%
24963
11.6%
623
 
0.1%
(Missing)8648
20.1%
ValueCountFrequency (%)
15381
12.5%
24963
11.6%
36366
14.8%
48230
19.2%
59351
21.8%
ValueCountFrequency (%)
623
 
0.1%
59351
21.8%
48230
19.2%
36366
14.8%
24963
11.6%

NATIONALITAET_KZ
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8698384619
Minimum0
Maximum3
Zeros7316
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:08.744015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4656726535
Coefficient of variation (CV)0.5353553262
Kurtosis4.776654136
Mean0.8698384619
Median Absolute Deviation (MAD)0
Skewness0.2656822837
Sum37370
Variance0.2168510202
MonotonicityNot monotonic
2021-05-29T15:49:08.847368image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
134424
80.1%
07316
 
17.0%
2720
 
1.7%
3502
 
1.2%
ValueCountFrequency (%)
07316
 
17.0%
134424
80.1%
2720
 
1.7%
3502
 
1.2%
ValueCountFrequency (%)
3502
 
1.2%
2720
 
1.7%
134424
80.1%
07316
 
17.0%

ONLINE_AFFINITAET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.57985693
Minimum0
Maximum5
Zeros2156
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:08.943162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.360915219
Coefficient of variation (CV)0.5275157715
Kurtosis-0.8402103647
Mean2.57985693
Median Absolute Deviation (MAD)1
Skewness0.1488308148
Sum109275
Variance1.852090234
MonotonicityNot monotonic
2021-05-29T15:49:09.051806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
214437
33.6%
48639
20.1%
16813
15.9%
36264
14.6%
54048
 
9.4%
02156
 
5.0%
(Missing)605
 
1.4%
ValueCountFrequency (%)
02156
 
5.0%
16813
15.9%
214437
33.6%
36264
14.6%
48639
20.1%
ValueCountFrequency (%)
54048
 
9.4%
48639
20.1%
36264
14.6%
214437
33.6%
16813
15.9%

ORTSGR_KLS9
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing7951
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean5.152352118
Minimum0
Maximum9
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:09.144660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.387266
Coefficient of variation (CV)0.4633351808
Kurtosis-1.032735019
Mean5.152352118
Median Absolute Deviation (MAD)2
Skewness0.1326188369
Sum180389
Variance5.699038955
MonotonicityNot monotonic
2021-05-29T15:49:09.230761image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
56229
14.5%
45336
12.4%
94626
10.8%
34315
10.0%
73625
8.4%
23497
8.1%
82879
 
6.7%
62684
 
6.2%
11816
 
4.2%
04
 
< 0.1%
(Missing)7951
18.5%
ValueCountFrequency (%)
04
 
< 0.1%
11816
 
4.2%
23497
8.1%
34315
10.0%
45336
12.4%
ValueCountFrequency (%)
94626
10.8%
82879
6.7%
73625
8.4%
62684
6.2%
56229
14.5%

OST_WEST_KZ
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Memory size335.8 KiB
W
26752 
O
8433 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowO
4th rowW
5th rowW

Common Values

ValueCountFrequency (%)
W26752
62.3%
O8433
 
19.6%
(Missing)7777
 
18.1%

PLZ8_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean2.388951133
Minimum0
Maximum4
Zeros229
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:09.418799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.976407967
Coefficient of variation (CV)0.4087182669
Kurtosis-0.8539688415
Mean2.388951133
Median Absolute Deviation (MAD)1
Skewness0.02786278464
Sum83157
Variance0.953372518
MonotonicityNot monotonic
2021-05-29T15:49:09.512987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
211799
27.5%
311012
25.6%
16851
15.9%
44918
11.4%
0229
 
0.5%
(Missing)8153
19.0%
ValueCountFrequency (%)
0229
 
0.5%
16851
15.9%
211799
27.5%
311012
25.6%
44918
11.4%
ValueCountFrequency (%)
44918
11.4%
311012
25.6%
211799
27.5%
16851
15.9%
0229
 
0.5%

PLZ8_ANTG2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean2.710965555
Minimum0
Maximum4
Zeros369
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:09.602123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9259999975
Coefficient of variation (CV)0.3415757149
Kurtosis-0.3427473785
Mean2.710965555
Median Absolute Deviation (MAD)1
Skewness-0.3548187874
Sum94366
Variance0.8574759954
MonotonicityNot monotonic
2021-05-29T15:49:09.697351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313811
32.1%
210389
24.2%
47305
17.0%
12935
 
6.8%
0369
 
0.9%
(Missing)8153
19.0%
ValueCountFrequency (%)
0369
 
0.9%
12935
 
6.8%
210389
24.2%
313811
32.1%
47305
17.0%
ValueCountFrequency (%)
47305
17.0%
313811
32.1%
210389
24.2%
12935
 
6.8%
0369
 
0.9%

PLZ8_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean1.46844207
Minimum0
Maximum3
Zeros6481
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:09.784111image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9848832076
Coefficient of variation (CV)0.670699395
Kurtosis-1.017474988
Mean1.46844207
Median Absolute Deviation (MAD)1
Skewness0.05055431469
Sum51115
Variance0.9699949326
MonotonicityNot monotonic
2021-05-29T15:49:09.869361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111608
27.0%
210653
24.8%
06481
15.1%
36067
14.1%
(Missing)8153
19.0%
ValueCountFrequency (%)
06481
15.1%
111608
27.0%
210653
24.8%
36067
14.1%
ValueCountFrequency (%)
36067
14.1%
210653
24.8%
111608
27.0%
06481
15.1%

PLZ8_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.6146973484
Minimum0
Maximum2
Zeros17981
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:09.951629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7066662428
Coefficient of variation (CV)1.149616547
Kurtosis-0.7345040707
Mean0.6146973484
Median Absolute Deviation (MAD)0
Skewness0.7059862521
Sum21397
Variance0.4993771787
MonotonicityNot monotonic
2021-05-29T15:49:10.042368image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
017981
41.9%
112259
28.5%
24569
 
10.6%
(Missing)8153
19.0%
ValueCountFrequency (%)
017981
41.9%
112259
28.5%
24569
 
10.6%
ValueCountFrequency (%)
24569
 
10.6%
112259
28.5%
017981
41.9%

PLZ8_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean1.777787354
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:10.129044image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.360034943
Coefficient of variation (CV)0.7650155347
Kurtosis0.6926140641
Mean1.777787354
Median Absolute Deviation (MAD)0
Skewness1.503909528
Sum61883
Variance1.849695047
MonotonicityNot monotonic
2021-05-29T15:49:10.218717image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
124379
56.7%
53479
 
8.1%
22847
 
6.6%
42103
 
4.9%
32001
 
4.7%
(Missing)8153
 
19.0%
ValueCountFrequency (%)
124379
56.7%
22847
 
6.6%
32001
 
4.7%
42103
 
4.9%
53479
 
8.1%
ValueCountFrequency (%)
53479
 
8.1%
42103
 
4.9%
32001
 
4.7%
22847
 
6.6%
124379
56.7%

PLZ8_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean3.421385274
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:10.305210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.094782984
Coefficient of variation (CV)0.3199823744
Kurtosis-0.5572427449
Mean3.421385274
Median Absolute Deviation (MAD)1
Skewness-0.1985515689
Sum119095
Variance1.198549782
MonotonicityNot monotonic
2021-05-29T15:49:10.396069image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313033
30.3%
48600
20.0%
56988
16.3%
24468
 
10.4%
11720
 
4.0%
(Missing)8153
19.0%
ValueCountFrequency (%)
11720
 
4.0%
24468
 
10.4%
313033
30.3%
48600
20.0%
56988
16.3%
ValueCountFrequency (%)
56988
16.3%
48600
20.0%
313033
30.3%
24468
 
10.4%
11720
 
4.0%

PLZ8_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing8153
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean3.537016289
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:10.481793image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9626224564
Coefficient of variation (CV)0.2721566365
Kurtosis-0.5496661491
Mean3.537016289
Median Absolute Deviation (MAD)1
Skewness-0.00204438035
Sum123120
Variance0.9266419936
MonotonicityNot monotonic
2021-05-29T15:49:10.573866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
314893
34.7%
49142
21.3%
56946
16.2%
23315
 
7.7%
1513
 
1.2%
(Missing)8153
19.0%
ValueCountFrequency (%)
1513
 
1.2%
23315
 
7.7%
314893
34.7%
49142
21.3%
56946
16.2%
ValueCountFrequency (%)
56946
16.2%
49142
21.3%
314893
34.7%
23315
 
7.7%
1513
 
1.2%

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.427750105
Minimum0
Maximum15
Zeros7454
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:10.667735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile12
Maximum15
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.753186573
Coefficient of variation (CV)0.8476509477
Kurtosis0.206027239
Mean4.427750105
Median Absolute Deviation (MAD)3
Skewness0.8627510551
Sum190225
Variance14.08640945
MonotonicityNot monotonic
2021-05-29T15:49:10.784003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
07454
17.4%
37002
16.3%
55828
13.6%
14315
10.0%
83926
9.1%
43567
8.3%
62185
 
5.1%
22081
 
4.8%
91876
 
4.4%
141100
 
2.6%
Other values (6)3628
8.4%
ValueCountFrequency (%)
07454
17.4%
14315
10.0%
22081
 
4.8%
37002
16.3%
43567
8.3%
ValueCountFrequency (%)
15650
1.5%
141100
2.6%
13162
 
0.4%
12313
 
0.7%
111099
2.6%

REGIOTYP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing8445
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean4.126227656
Minimum0
Maximum7
Zeros1485
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:10.887434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.014987779
Coefficient of variation (CV)0.4883365501
Kurtosis-1.014061662
Mean4.126227656
Median Absolute Deviation (MAD)1
Skewness-0.3807023729
Sum142425
Variance4.060175748
MonotonicityNot monotonic
2021-05-29T15:49:10.997298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
68065
18.8%
56651
15.5%
24709
11.0%
34347
10.1%
73260
 
7.6%
43167
 
7.4%
12833
 
6.6%
01485
 
3.5%
(Missing)8445
19.7%
ValueCountFrequency (%)
01485
 
3.5%
12833
6.6%
24709
11.0%
34347
10.1%
43167
7.4%
ValueCountFrequency (%)
73260
7.6%
68065
18.8%
56651
15.5%
43167
 
7.4%
34347
10.1%

RELAT_AB
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing7951
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.958098883
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:11.099476image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3472446
Coefficient of variation (CV)0.4554427194
Kurtosis-0.9665782959
Mean2.958098883
Median Absolute Deviation (MAD)1
Skewness0.05587733084
Sum103566
Variance1.815068011
MonotonicityNot monotonic
2021-05-29T15:49:11.207298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
312140
28.3%
17016
16.3%
56481
15.1%
24903
11.4%
44464
 
10.4%
97
 
< 0.1%
(Missing)7951
18.5%
ValueCountFrequency (%)
17016
16.3%
24903
11.4%
312140
28.3%
44464
 
10.4%
56481
15.1%
ValueCountFrequency (%)
97
 
< 0.1%
56481
15.1%
44464
 
10.4%
312140
28.3%
24903
11.4%

RETOURTYP_BK_S
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.728592677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:11.309544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.179453726
Coefficient of variation (CV)0.3163267829
Kurtosis-1.167726991
Mean3.728592677
Median Absolute Deviation (MAD)1
Skewness-0.2495191133
Sum157932
Variance1.391111092
MonotonicityNot monotonic
2021-05-29T15:49:11.419991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
517158
39.9%
315412
35.9%
25127
 
11.9%
43664
 
8.5%
1996
 
2.3%
(Missing)605
 
1.4%
ValueCountFrequency (%)
1996
 
2.3%
25127
 
11.9%
315412
35.9%
43664
 
8.5%
517158
39.9%
ValueCountFrequency (%)
517158
39.9%
43664
 
8.5%
315412
35.9%
25127
 
11.9%
1996
 
2.3%

RT_KEIN_ANREIZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.484807706
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:11.524361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.232905337
Coefficient of variation (CV)0.4961773639
Kurtosis-1.273844363
Mean2.484807706
Median Absolute Deviation (MAD)1
Skewness0.2167392224
Sum105249
Variance1.520055571
MonotonicityNot monotonic
2021-05-29T15:49:11.638323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112330
28.7%
410720
25.0%
210450
24.3%
37573
17.6%
51284
 
3.0%
(Missing)605
 
1.4%
ValueCountFrequency (%)
112330
28.7%
210450
24.3%
37573
17.6%
410720
25.0%
51284
 
3.0%
ValueCountFrequency (%)
51284
 
3.0%
410720
25.0%
37573
17.6%
210450
24.3%
112330
28.7%

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing605
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.143046014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:11.744392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.201549785
Coefficient of variation (CV)0.2900160368
Kurtosis0.2258746174
Mean4.143046014
Median Absolute Deviation (MAD)0
Skewness-1.203442465
Sum175487
Variance1.443721886
MonotonicityNot monotonic
2021-05-29T15:49:11.833028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
524497
57.0%
47152
 
16.6%
34789
 
11.1%
24108
 
9.6%
11811
 
4.2%
(Missing)605
 
1.4%
ValueCountFrequency (%)
11811
 
4.2%
24108
 
9.6%
34789
 
11.1%
47152
 
16.6%
524497
57.0%
ValueCountFrequency (%)
524497
57.0%
47152
 
16.6%
34789
 
11.1%
24108
 
9.6%
11811
 
4.2%

RT_UEBERGROESSE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing6380
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean2.201902575
Minimum0
Maximum5
Zeros287
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:11.912833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.306469589
Coefficient of variation (CV)0.5933366914
Kurtosis-0.4136518855
Mean2.201902575
Median Absolute Deviation (MAD)1
Skewness0.8096038959
Sum80550
Variance1.706862786
MonotonicityNot monotonic
2021-05-29T15:49:12.003135image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
114325
33.3%
29441
22.0%
36103
14.2%
53330
 
7.8%
43096
 
7.2%
0287
 
0.7%
(Missing)6380
14.9%
ValueCountFrequency (%)
0287
 
0.7%
114325
33.3%
29441
22.0%
36103
14.2%
43096
 
7.2%
ValueCountFrequency (%)
53330
 
7.8%
43096
 
7.2%
36103
14.2%
29441
22.0%
114325
33.3%

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.732973325
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:12.085862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.556256132
Coefficient of variation (CV)0.3288115155
Kurtosis-0.5056451254
Mean4.732973325
Median Absolute Deviation (MAD)1
Skewness-0.5539731922
Sum203338
Variance2.421933148
MonotonicityNot monotonic
2021-05-29T15:49:12.176725image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
612101
28.2%
511137
25.9%
38215
19.1%
74215
 
9.8%
43968
 
9.2%
21699
 
4.0%
11627
 
3.8%
ValueCountFrequency (%)
11627
 
3.8%
21699
 
4.0%
38215
19.1%
43968
 
9.2%
511137
25.9%
ValueCountFrequency (%)
74215
 
9.8%
612101
28.2%
511137
25.9%
43968
 
9.2%
38215
19.1%

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.115893115
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:12.258402image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.824980789
Coefficient of variation (CV)0.3567277009
Kurtosis-1.632432904
Mean5.115893115
Median Absolute Deviation (MAD)1
Skewness-0.2178947079
Sum219789
Variance3.33055488
MonotonicityNot monotonic
2021-05-29T15:49:12.346829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
717215
40.1%
312901
30.0%
65481
 
12.8%
45437
 
12.7%
2831
 
1.9%
5797
 
1.9%
1300
 
0.7%
ValueCountFrequency (%)
1300
 
0.7%
2831
 
1.9%
312901
30.0%
45437
12.7%
5797
 
1.9%
ValueCountFrequency (%)
717215
40.1%
65481
 
12.8%
5797
 
1.9%
45437
 
12.7%
312901
30.0%

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.762557609
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:12.428066image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.844612213
Coefficient of variation (CV)0.4902548758
Kurtosis-1.355286675
Mean3.762557609
Median Absolute Deviation (MAD)2
Skewness-0.010053423
Sum161647
Variance3.402594217
MonotonicityNot monotonic
2021-05-29T15:49:12.512683image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
611209
26.1%
37526
17.5%
27303
17.0%
15982
13.9%
45393
12.6%
54594
10.7%
7955
 
2.2%
ValueCountFrequency (%)
15982
13.9%
27303
17.0%
37526
17.5%
45393
12.6%
54594
10.7%
ValueCountFrequency (%)
7955
 
2.2%
611209
26.1%
54594
10.7%
45393
12.6%
37526
17.5%

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.665495089
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:12.593704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.723420523
Coefficient of variation (CV)0.3693971358
Kurtosis-0.8925927754
Mean4.665495089
Median Absolute Deviation (MAD)1
Skewness-0.5832553872
Sum200439
Variance2.970178299
MonotonicityNot monotonic
2021-05-29T15:49:12.684400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
615817
36.8%
38594
20.0%
57804
18.2%
73719
 
8.7%
23369
 
7.8%
12224
 
5.2%
41435
 
3.3%
ValueCountFrequency (%)
12224
 
5.2%
23369
 
7.8%
38594
20.0%
41435
 
3.3%
57804
18.2%
ValueCountFrequency (%)
73719
 
8.7%
615817
36.8%
57804
18.2%
41435
 
3.3%
38594
20.0%

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.005982031
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:12.774314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.866680663
Coefficient of variation (CV)0.3728900047
Kurtosis-0.9609347416
Mean5.005982031
Median Absolute Deviation (MAD)1
Skewness-0.4923246436
Sum215067
Variance3.484496697
MonotonicityNot monotonic
2021-05-29T15:49:12.879162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
713702
31.9%
39499
22.1%
68107
18.9%
45028
 
11.7%
53723
 
8.7%
12519
 
5.9%
2384
 
0.9%
ValueCountFrequency (%)
12519
 
5.9%
2384
 
0.9%
39499
22.1%
45028
11.7%
53723
 
8.7%
ValueCountFrequency (%)
713702
31.9%
68107
18.9%
53723
 
8.7%
45028
 
11.7%
39499
22.1%

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.166658908
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:14.007676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.664364929
Coefficient of variation (CV)0.5255902127
Kurtosis-0.7438281921
Mean3.166658908
Median Absolute Deviation (MAD)1
Skewness0.3667172945
Sum136046
Variance2.770110617
MonotonicityNot monotonic
2021-05-29T15:49:14.098080image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
311148
25.9%
19474
22.1%
47444
17.3%
25755
13.4%
64281
 
10.0%
53932
 
9.2%
7928
 
2.2%
ValueCountFrequency (%)
19474
22.1%
25755
13.4%
311148
25.9%
47444
17.3%
53932
 
9.2%
ValueCountFrequency (%)
7928
 
2.2%
64281
 
10.0%
53932
 
9.2%
47444
17.3%
311148
25.9%

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.399213258
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:14.182529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.523510448
Coefficient of variation (CV)0.282172675
Kurtosis0.7406617284
Mean5.399213258
Median Absolute Deviation (MAD)1
Skewness-0.9292804903
Sum231961
Variance2.321084086
MonotonicityNot monotonic
2021-05-29T15:49:14.271086image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
514913
34.7%
714597
34.0%
45243
 
12.2%
64601
 
10.7%
11487
 
3.5%
21211
 
2.8%
3910
 
2.1%
ValueCountFrequency (%)
11487
 
3.5%
21211
 
2.8%
3910
 
2.1%
45243
 
12.2%
514913
34.7%
ValueCountFrequency (%)
714597
34.0%
64601
 
10.7%
514913
34.7%
45243
 
12.2%
3910
 
2.1%

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.417182627
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:14.353236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.806957964
Coefficient of variation (CV)0.5287858922
Kurtosis-1.276356166
Mean3.417182627
Median Absolute Deviation (MAD)2
Skewness0.07761872488
Sum146809
Variance3.265097083
MonotonicityNot monotonic
2021-05-29T15:49:14.460450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
59592
22.3%
19145
21.3%
27273
16.9%
45829
13.6%
35322
12.4%
64731
11.0%
71070
 
2.5%
ValueCountFrequency (%)
19145
21.3%
27273
16.9%
35322
12.4%
45829
13.6%
59592
22.3%
ValueCountFrequency (%)
71070
 
2.5%
64731
11.0%
59592
22.3%
45829
13.6%
35322
12.4%

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.345724128
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:14.564279image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.570618056
Coefficient of variation (CV)0.4694403948
Kurtosis-0.8087919765
Mean3.345724128
Median Absolute Deviation (MAD)1
Skewness0.1547572243
Sum143739
Variance2.466841077
MonotonicityNot monotonic
2021-05-29T15:49:14.675109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
59671
22.5%
29155
21.3%
48912
20.7%
36766
15.7%
16186
14.4%
71310
 
3.0%
6962
 
2.2%
ValueCountFrequency (%)
16186
14.4%
29155
21.3%
36766
15.7%
48912
20.7%
59671
22.5%
ValueCountFrequency (%)
71310
 
3.0%
6962
 
2.2%
59671
22.5%
48912
20.7%
36766
15.7%

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.196266468
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:14.778170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.278979216
Coefficient of variation (CV)0.4001478689
Kurtosis0.6106085905
Mean3.196266468
Median Absolute Deviation (MAD)1
Skewness0.4537494497
Sum137318
Variance1.635787834
MonotonicityNot monotonic
2021-05-29T15:49:14.888917image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
413563
31.6%
312671
29.5%
28539
19.9%
13991
 
9.3%
52255
 
5.2%
71051
 
2.4%
6892
 
2.1%
ValueCountFrequency (%)
13991
 
9.3%
28539
19.9%
312671
29.5%
413563
31.6%
52255
 
5.2%
ValueCountFrequency (%)
71051
 
2.4%
6892
 
2.1%
52255
 
5.2%
413563
31.6%
312671
29.5%

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.471789023
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:14.992619image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.096218519
Coefficient of variation (CV)0.6037862628
Kurtosis-0.9603598458
Mean3.471789023
Median Absolute Deviation (MAD)1
Skewness0.5465523515
Sum149155
Variance4.39413208
MonotonicityNot monotonic
2021-05-29T15:49:15.102489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19217
21.5%
38366
19.5%
78227
19.1%
27626
17.8%
46132
14.3%
52893
 
6.7%
6501
 
1.2%
ValueCountFrequency (%)
19217
21.5%
27626
17.8%
38366
19.5%
46132
14.3%
52893
 
6.7%
ValueCountFrequency (%)
78227
19.1%
6501
 
1.2%
52893
 
6.7%
46132
14.3%
38366
19.5%

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.624854523
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:15.213522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.67794576
Coefficient of variation (CV)0.462900166
Kurtosis-1.222652853
Mean3.624854523
Median Absolute Deviation (MAD)1
Skewness0.2320793429
Sum155731
Variance2.815501975
MonotonicityNot monotonic
2021-05-29T15:49:15.345171image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
212861
29.9%
67619
17.7%
46823
15.9%
36074
14.1%
55907
13.7%
12750
 
6.4%
7928
 
2.2%
ValueCountFrequency (%)
12750
 
6.4%
212861
29.9%
36074
14.1%
46823
15.9%
55907
13.7%
ValueCountFrequency (%)
7928
 
2.2%
67619
17.7%
55907
13.7%
46823
15.9%
36074
14.1%

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.785554676
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:15.448321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.338822988
Coefficient of variation (CV)0.4806306618
Kurtosis0.609000932
Mean2.785554676
Median Absolute Deviation (MAD)1
Skewness0.5536524565
Sum119673
Variance1.792446992
MonotonicityNot monotonic
2021-05-29T15:49:15.541451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
316411
38.2%
110009
23.3%
48373
19.5%
25486
 
12.8%
6958
 
2.2%
5928
 
2.2%
7797
 
1.9%
ValueCountFrequency (%)
110009
23.3%
25486
 
12.8%
316411
38.2%
48373
19.5%
5928
 
2.2%
ValueCountFrequency (%)
7797
 
1.9%
6958
 
2.2%
5928
 
2.2%
48373
19.5%
316411
38.2%

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.886620735
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:15.629066image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.103138486
Coefficient of variation (CV)0.5411226434
Kurtosis-1.337630141
Mean3.886620735
Median Absolute Deviation (MAD)2
Skewness0.01014991775
Sum166977
Variance4.42319149
MonotonicityNot monotonic
2021-05-29T15:49:15.716192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
18661
20.2%
46724
15.7%
76392
14.9%
56127
14.3%
25762
13.4%
65543
12.9%
33753
8.7%
ValueCountFrequency (%)
18661
20.2%
25762
13.4%
33753
8.7%
46724
15.7%
56127
14.3%
ValueCountFrequency (%)
76392
14.9%
65543
12.9%
56127
14.3%
46724
15.7%
33753
8.7%

SHOPPER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.307364648
Minimum-1
Maximum3
Zeros6034
Zeros (%)14.0%
Negative7397
Negative (%)17.2%
Memory size335.8 KiB
2021-05-29T15:49:15.799433image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median1
Q33
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.472972521
Coefficient of variation (CV)1.126673055
Kurtosis-1.307955867
Mean1.307364648
Median Absolute Deviation (MAD)1
Skewness-0.2588039121
Sum56167
Variance2.169648049
MonotonicityNot monotonic
2021-05-29T15:49:15.899065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
313807
32.1%
19305
21.7%
-17397
17.2%
26419
14.9%
06034
14.0%
ValueCountFrequency (%)
-17397
17.2%
06034
14.0%
19305
21.7%
26419
14.9%
313807
32.1%
ValueCountFrequency (%)
313807
32.1%
26419
14.9%
19305
21.7%
06034
14.0%
-17397
17.2%

SOHO_KZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.009668546662
Minimum0
Maximum1
Zeros35645
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:15.991008image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09785362487
Coefficient of variation (CV)10.12082046
Kurtosis98.45176654
Mean0.009668546662
Median Absolute Deviation (MAD)0
Skewness10.02228995
Sum348
Variance0.0095753319
MonotonicityNot monotonic
2021-05-29T15:49:16.083536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
035645
83.0%
1348
 
0.8%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
035645
83.0%
1348
 
0.8%
ValueCountFrequency (%)
1348
 
0.8%
035645
83.0%

STRUKTURTYP
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing7955
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.478018682
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:16.171498image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7904625479
Coefficient of variation (CV)0.3189897452
Kurtosis-0.5598638685
Mean2.478018682
Median Absolute Deviation (MAD)0
Skewness-1.067555953
Sum86748
Variance0.6248310397
MonotonicityNot monotonic
2021-05-29T15:49:16.263278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
323303
54.2%
16569
 
15.3%
25135
 
12.0%
(Missing)7955
 
18.5%
ValueCountFrequency (%)
16569
 
15.3%
25135
 
12.0%
323303
54.2%
ValueCountFrequency (%)
323303
54.2%
25135
 
12.0%
16569
 
15.3%

TITEL_KZ
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.007918206318
Minimum0
Maximum5
Zeros35780
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:16.343804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1283306343
Coefficient of variation (CV)16.20703341
Kurtosis826.1893767
Mean0.007918206318
Median Absolute Deviation (MAD)0
Skewness25.64853276
Sum285
Variance0.0164687517
MonotonicityNot monotonic
2021-05-29T15:49:16.449882image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
035780
83.3%
1190
 
0.4%
410
 
< 0.1%
58
 
< 0.1%
35
 
< 0.1%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
035780
83.3%
1190
 
0.4%
35
 
< 0.1%
410
 
< 0.1%
58
 
< 0.1%
ValueCountFrequency (%)
58
 
< 0.1%
410
 
< 0.1%
35
 
< 0.1%
1190
 
0.4%
035780
83.3%

UMFELD_ALT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7925
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean2.86482861
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:16.550819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.295502203
Coefficient of variation (CV)0.452209322
Kurtosis-1.079509414
Mean2.86482861
Median Absolute Deviation (MAD)1
Skewness0.03767065536
Sum100375
Variance1.678325959
MonotonicityNot monotonic
2021-05-29T15:49:16.657088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
39342
21.7%
47576
17.6%
16985
16.3%
26870
16.0%
54264
9.9%
(Missing)7925
18.4%
ValueCountFrequency (%)
16985
16.3%
26870
16.0%
39342
21.7%
47576
17.6%
54264
9.9%
ValueCountFrequency (%)
54264
9.9%
47576
17.6%
39342
21.7%
26870
16.0%
16985
16.3%

UMFELD_JUNG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing7925
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean4.268573223
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:16.758205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9930217471
Coefficient of variation (CV)0.232635519
Kurtosis1.485520329
Mean4.268573223
Median Absolute Deviation (MAD)0
Skewness-1.412341897
Sum149558
Variance0.9860921902
MonotonicityNot monotonic
2021-05-29T15:49:16.872120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
519190
44.7%
49282
21.6%
34188
 
9.7%
21539
 
3.6%
1838
 
2.0%
(Missing)7925
18.4%
ValueCountFrequency (%)
1838
 
2.0%
21539
 
3.6%
34188
 
9.7%
49282
21.6%
519190
44.7%
ValueCountFrequency (%)
519190
44.7%
49282
21.6%
34188
 
9.7%
21539
 
3.6%
1838
 
2.0%

UNGLEICHENN_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean0.07126385686
Minimum0
Maximum1
Zeros33428
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:16.974478image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2572686504
Coefficient of variation (CV)3.610085977
Kurtosis9.110522997
Mean0.07126385686
Median Absolute Deviation (MAD)0
Skewness3.333169177
Sum2565
Variance0.06618715846
MonotonicityNot monotonic
2021-05-29T15:49:17.079529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
033428
77.8%
12565
 
6.0%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
033428
77.8%
12565
 
6.0%
ValueCountFrequency (%)
12565
 
6.0%
033428
77.8%

VERDICHTUNGSRAUM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)0.1%
Missing7955
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean4.465992516
Minimum0
Maximum45
Zeros17087
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:17.208264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.460627756
Coefficient of variation (CV)1.894456322
Kurtosis6.943314325
Mean4.465992516
Median Absolute Deviation (MAD)1
Skewness2.634332856
Sum156341
Variance71.58222202
MonotonicityNot monotonic
2021-05-29T15:49:17.358005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
017087
39.8%
13804
 
8.9%
22403
 
5.6%
31656
 
3.9%
41364
 
3.2%
6892
 
2.1%
5870
 
2.0%
9507
 
1.2%
8504
 
1.2%
7493
 
1.1%
Other values (36)5427
 
12.6%
(Missing)7955
18.5%
ValueCountFrequency (%)
017087
39.8%
13804
 
8.9%
22403
 
5.6%
31656
 
3.9%
41364
 
3.2%
ValueCountFrequency (%)
4570
0.2%
4481
0.2%
4395
0.2%
4246
0.1%
4126
 
0.1%

VERS_TYP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.051929612
Minimum-1
Maximum2
Zeros0
Zeros (%)0.0%
Negative7397
Negative (%)17.2%
Memory size335.8 KiB
2021-05-29T15:49:17.463673image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11
median1
Q32
95-th percentile2
Maximum2
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.040341571
Coefficient of variation (CV)0.9889840149
Kurtosis-0.120767715
Mean1.051929612
Median Absolute Deviation (MAD)1
Skewness-1.021295789
Sum45193
Variance1.082310585
MonotonicityNot monotonic
2021-05-29T15:49:17.553588image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
118540
43.2%
217025
39.6%
-17397
 
17.2%
ValueCountFrequency (%)
-17397
 
17.2%
118540
43.2%
217025
39.6%
ValueCountFrequency (%)
217025
39.6%
118540
43.2%
-17397
 
17.2%

VHA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean1.137443392
Minimum0
Maximum5
Zeros16176
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:17.633322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.553994733
Coefficient of variation (CV)1.366217207
Kurtosis0.9954126717
Mean1.137443392
Median Absolute Deviation (MAD)1
Skewness1.502467609
Sum40940
Variance2.414899632
MonotonicityNot monotonic
2021-05-29T15:49:17.725409image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
016176
37.7%
113027
30.3%
53020
 
7.0%
31761
 
4.1%
41756
 
4.1%
2253
 
0.6%
(Missing)6969
16.2%
ValueCountFrequency (%)
016176
37.7%
113027
30.3%
2253
 
0.6%
31761
 
4.1%
41756
 
4.1%
ValueCountFrequency (%)
53020
 
7.0%
41756
 
4.1%
31761
 
4.1%
2253
 
0.6%
113027
30.3%

VHN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing8445
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean2.384737955
Minimum0
Maximum4
Zeros1485
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:17.812300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.14825115
Coefficient of variation (CV)0.4814999264
Kurtosis-0.9121218272
Mean2.384737955
Median Absolute Deviation (MAD)1
Skewness-0.09286658389
Sum82314
Variance1.318480703
MonotonicityNot monotonic
2021-05-29T15:49:17.908608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
210989
25.6%
37829
18.2%
47545
17.6%
16669
15.5%
01485
 
3.5%
(Missing)8445
19.7%
ValueCountFrequency (%)
01485
 
3.5%
16669
15.5%
210989
25.6%
37829
18.2%
47545
17.6%
ValueCountFrequency (%)
47545
17.6%
37829
18.2%
210989
25.6%
16669
15.5%
01485
 
3.5%

VK_DHT4A
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing7267
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean4.318644068
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:18.001473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.165198775
Coefficient of variation (CV)0.732914944
Kurtosis-1.243628625
Mean4.318644068
Median Absolute Deviation (MAD)2
Skewness0.4549453147
Sum154154
Variance10.01848328
MonotonicityNot monotonic
2021-05-29T15:49:18.096552image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
110900
25.4%
24387
10.2%
73017
 
7.0%
102941
 
6.8%
62795
 
6.5%
32619
 
6.1%
92441
 
5.7%
42271
 
5.3%
82201
 
5.1%
52115
 
4.9%
(Missing)7267
16.9%
ValueCountFrequency (%)
110900
25.4%
24387
10.2%
32619
 
6.1%
42271
 
5.3%
52115
 
4.9%
ValueCountFrequency (%)
118
 
< 0.1%
102941
6.8%
92441
5.7%
82201
5.1%
73017
7.0%

VK_DISTANZ
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)< 0.1%
Missing7267
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean4.505953215
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:18.177716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile11
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.289502061
Coefficient of variation (CV)0.7300346683
Kurtosis-0.5301004379
Mean4.505953215
Median Absolute Deviation (MAD)3
Skewness0.7047166047
Sum160840
Variance10.82082381
MonotonicityNot monotonic
2021-05-29T15:49:18.276322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
18652
20.1%
25362
12.5%
64160
9.7%
33482
8.1%
43005
 
7.0%
72969
 
6.9%
81966
 
4.6%
91517
 
3.5%
51198
 
2.8%
101049
 
2.4%
Other values (3)2335
 
5.4%
(Missing)7267
16.9%
ValueCountFrequency (%)
18652
20.1%
25362
12.5%
33482
8.1%
43005
 
7.0%
51198
 
2.8%
ValueCountFrequency (%)
13412
 
1.0%
12885
2.1%
111038
2.4%
101049
2.4%
91517
3.5%

VK_ZG11
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing7267
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean3.11696316
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:18.365559image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.534331308
Coefficient of variation (CV)0.813077081
Kurtosis1.015065081
Mean3.11696316
Median Absolute Deviation (MAD)1
Skewness1.33750966
Sum111260
Variance6.422835177
MonotonicityNot monotonic
2021-05-29T15:49:18.457671image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
113344
31.1%
25703
13.3%
35180
 
12.1%
43554
 
8.3%
52190
 
5.1%
61511
 
3.5%
9970
 
2.3%
7960
 
2.2%
10957
 
2.2%
8956
 
2.2%
(Missing)7267
16.9%
ValueCountFrequency (%)
113344
31.1%
25703
13.3%
35180
 
12.1%
43554
 
8.3%
52190
 
5.1%
ValueCountFrequency (%)
11370
 
0.9%
10957
2.2%
9970
2.3%
8956
2.2%
7960
2.2%

W_KEIT_KIND_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing9678
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean4.488402836
Minimum0
Maximum6
Zeros739
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:18.545618image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.889573269
Coefficient of variation (CV)0.4209901246
Kurtosis-0.8619692857
Mean4.488402836
Median Absolute Deviation (MAD)0
Skewness-0.7885563894
Sum149392
Variance3.57048714
MonotonicityNot monotonic
2021-05-29T15:49:18.654624image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
618152
42.3%
24739
 
11.0%
43418
 
8.0%
32637
 
6.1%
12144
 
5.0%
51455
 
3.4%
0739
 
1.7%
(Missing)9678
22.5%
ValueCountFrequency (%)
0739
 
1.7%
12144
5.0%
24739
11.0%
32637
6.1%
43418
8.0%
ValueCountFrequency (%)
618152
42.3%
51455
 
3.4%
43418
 
8.0%
32637
 
6.1%
24739
 
11.0%

WOHNDAUER_2008
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing6969
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean8.72994749
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:18.760769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.010545222
Coefficient of variation (CV)0.1157561627
Kurtosis19.35655156
Mean8.72994749
Median Absolute Deviation (MAD)0
Skewness-4.360986433
Sum314217
Variance1.021201645
MonotonicityNot monotonic
2021-05-29T15:49:18.874682image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
932478
75.6%
81509
 
3.5%
4461
 
1.1%
6419
 
1.0%
5382
 
0.9%
7354
 
0.8%
3346
 
0.8%
129
 
0.1%
215
 
< 0.1%
(Missing)6969
 
16.2%
ValueCountFrequency (%)
129
 
0.1%
215
 
< 0.1%
3346
0.8%
4461
1.1%
5382
0.9%
ValueCountFrequency (%)
932478
75.6%
81509
 
3.5%
7354
 
0.8%
6419
 
1.0%
5382
 
0.9%

WOHNLAGE
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing7777
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean4.059684525
Minimum0
Maximum8
Zeros127
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:18.980353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q37
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.046696937
Coefficient of variation (CV)0.5041517203
Kurtosis-1.129424703
Mean4.059684525
Median Absolute Deviation (MAD)1
Skewness0.4193841576
Sum142840
Variance4.188968352
MonotonicityNot monotonic
2021-05-29T15:49:19.087945image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
311342
26.4%
79124
21.2%
25001
11.6%
44559
10.6%
12473
 
5.8%
52079
 
4.8%
8480
 
1.1%
0127
 
0.3%
(Missing)7777
18.1%
ValueCountFrequency (%)
0127
 
0.3%
12473
 
5.8%
25001
11.6%
311342
26.4%
44559
10.6%
ValueCountFrequency (%)
8480
 
1.1%
79124
21.2%
52079
 
4.8%
44559
10.6%
311342
26.4%

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.80419906
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:19.186431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.121585077
Coefficient of variation (CV)0.3999662839
Kurtosis1.15885187
Mean2.80419906
Median Absolute Deviation (MAD)0
Skewness0.2647619627
Sum120474
Variance1.257953085
MonotonicityNot monotonic
2021-05-29T15:49:19.290942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
326958
62.7%
18385
 
19.5%
44133
 
9.6%
61705
 
4.0%
21484
 
3.5%
5297
 
0.7%
ValueCountFrequency (%)
18385
 
19.5%
21484
 
3.5%
326958
62.7%
44133
 
9.6%
5297
 
0.7%
ValueCountFrequency (%)
61705
 
4.0%
5297
 
0.7%
44133
 
9.6%
326958
62.7%
21484
 
3.5%

RESPONSE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01238303617
Minimum0
Maximum1
Zeros42430
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:19.386441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1105892457
Coefficient of variation (CV)8.930705211
Kurtosis75.77713585
Mean0.01238303617
Median Absolute Deviation (MAD)0
Skewness8.818934642
Sum532
Variance0.01222998126
MonotonicityNot monotonic
2021-05-29T15:49:19.491498image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
042430
98.8%
1532
 
1.2%
ValueCountFrequency (%)
042430
98.8%
1532
 
1.2%
ValueCountFrequency (%)
1532
 
1.2%
042430
98.8%

ANREDE_KZ
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.595084028
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:19.585797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4908814892
Coefficient of variation (CV)0.3077464765
Kurtosis-1.849992496
Mean1.595084028
Median Absolute Deviation (MAD)0
Skewness-0.3874191896
Sum68528
Variance0.2409646365
MonotonicityNot monotonic
2021-05-29T15:49:19.671129image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
225566
59.5%
117396
40.5%
ValueCountFrequency (%)
117396
40.5%
225566
59.5%
ValueCountFrequency (%)
225566
59.5%
117396
40.5%

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.213909967
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.8 KiB
2021-05-29T15:49:19.753205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.06747483
Coefficient of variation (CV)0.3321421074
Kurtosis1.260028535
Mean3.213909967
Median Absolute Deviation (MAD)0
Skewness-0.7334021832
Sum138076
Variance1.139502512
MonotonicityNot monotonic
2021-05-29T15:49:19.847123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
422906
53.3%
311221
26.1%
15448
 
12.7%
23306
 
7.7%
981
 
0.2%
ValueCountFrequency (%)
15448
 
12.7%
23306
 
7.7%
311221
26.1%
422906
53.3%
981
 
0.2%
ValueCountFrequency (%)
981
 
0.2%
422906
53.3%
311221
26.1%
23306
 
7.7%
15448
 
12.7%